Search Results for author: Jing Liao

Found 78 papers, 44 papers with code

Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion

no code implementations5 Feb 2024 Shiyuan Yang, Liang Hou, Haibin Huang, Chongyang Ma, Pengfei Wan, Di Zhang, Xiaodong Chen, Jing Liao

In practice, users often desire the ability to control object motion and camera movement independently for customized video creation.

Object Video Generation

Advances in 3D Generation: A Survey

no code implementations31 Jan 2024 Xiaoyu Li, Qi Zhang, Di Kang, Weihao Cheng, Yiming Gao, Jingbo Zhang, Zhihao Liang, Jing Liao, Yan-Pei Cao, Ying Shan

In this survey, we aim to introduce the fundamental methodologies of 3D generation methods and establish a structured roadmap, encompassing 3D representation, generation methods, datasets, and corresponding applications.

Novel View Synthesis

StyleRetoucher: Generalized Portrait Image Retouching with GAN Priors

no code implementations22 Dec 2023 Wanchao Su, Can Wang, Chen Liu, Hangzhou Han, Hongbo Fu, Jing Liao

To address such issues, we present StyleRetoucher, a novel automatic portrait image retouching framework, leveraging StyleGAN's generation and generalization ability to improve an input portrait image's skin condition while preserving its facial details.

feature selection Image Retouching

HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation

no code implementations12 Dec 2023 Hongyu Liu, Xuan Wang, Ziyu Wan, Yujun Shen, Yibing Song, Jing Liao, Qifeng Chen

The noisy image, landmarks, and text condition are then fed into the frozen ControlNet twice for noise prediction.

CAD: Photorealistic 3D Generation via Adversarial Distillation

no code implementations11 Dec 2023 Ziyu Wan, Despoina Paschalidou, IAn Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas Guibas

The increased demand for 3D data in AR/VR, robotics and gaming applications, gave rise to powerful generative pipelines capable of synthesizing high-quality 3D objects.

Mesh-Guided Neural Implicit Field Editing

no code implementations4 Dec 2023 Can Wang, Mingming He, Menglei Chai, Dongdong Chen, Jing Liao

We first introduce a differentiable method using marching tetrahedra for polygonal mesh extraction from the neural implicit field and then design a differentiable color extractor to assign colors obtained from the volume renderings to this extracted mesh.

HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion

no code implementations28 Nov 2023 Jingbo Zhang, Xiaoyu Li, Qi Zhang, YanPei Cao, Ying Shan, Jing Liao

Optimization-based methods that lift text-to-image diffusion models to 3D generation often fail to preserve the texture details of the reference image, resulting in inconsistent appearances in different views.

Image to 3D

VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization

no code implementations18 Oct 2023 Hongliang Zhong, Jingbo Zhang, Jing Liao

By discretizing the materials, our model can reduce noise in the decomposition process and generate a segmentation map of discrete materials.

Quantization Segmentation

HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending

1 code implementation ICCV 2023 Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

Even though they can enable very fine-grained local control, such interaction modes are inefficient for the editing conditions that can be easily specified by language descriptions or reference images.


Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model

1 code implementation11 Oct 2023 Shiyuan Yang, Xiaodong Chen, Jing Liao

Recently, text-to-image denoising diffusion probabilistic models (DDPMs) have demonstrated impressive image generation capabilities and have also been successfully applied to image inpainting.

Image Denoising Image Inpainting

Text-Guided Vector Graphics Customization

no code implementations21 Sep 2023 Peiying Zhang, Nanxuan Zhao, Jing Liao

In this paper, we propose a novel pipeline that generates high-quality customized vector graphics based on textual prompts while preserving the properties and layer-wise information of a given exemplar SVG.

Vector Graphics

Preserving Tumor Volumes for Unsupervised Medical Image Registration

1 code implementation ICCV 2023 Qihua Dong, Hao Du, Ying Song, Yan Xu, Jing Liao

Our approach balances image similarity and volume preservation in different regions, i. e., normal and tumor regions, by using soft tumor masks to adjust the imposition of volume-preserving loss on each one.

Anatomy Image Registration +1

Continuous Layout Editing of Single Images with Diffusion Models

no code implementations22 Jun 2023 Zhiyuan Zhang, Zhitong Huang, Jing Liao

However, none of these methods have been able to edit the layout of single existing images.

Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields

1 code implementation19 May 2023 Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao

Extensive experiments demonstrate that our Text2NeRF outperforms existing methods in producing photo-realistic, multi-view consistent, and diverse 3D scenes from a variety of natural language prompts.

3D Reconstruction Monocular Depth Estimation +3

IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers

no code implementations27 Apr 2023 Ronghuan Wu, Wanchao Su, Kede Ma, Jing Liao

More importantly, we demonstrate the flexibility of IconShop with multiple novel icon synthesis tasks, including icon editing, icon interpolation, icon semantic combination, and icon design auto-suggestion.

Text-to-Image Generation Vector Graphics

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

1 code implementation ICCV 2023 Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating a 3D human avatar with a specific identity and artistic style that can be easily animated.

3D Video Loops from Asynchronous Input

no code implementations CVPR 2023 Li Ma, Xiaoyu Li, Jing Liao, Pedro V. Sander

Looping videos are short video clips that can be looped endlessly without visible seams or artifacts.

Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity

no code implementations4 Feb 2023 Hao Du, Qihua Dong, Yan Xu, Jing Liao

Furthermore, we propose contrastive similarity to encourage organ pixels to gather around in the contrastive embedding space, which helps better distinguish low-contrast tissues.

Image Segmentation Medical Image Segmentation +3

NeRF-Art: Text-Driven Neural Radiance Fields Stylization

1 code implementation15 Dec 2022 Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

As a powerful representation of 3D scenes, the neural radiance field (NeRF) enables high-quality novel view synthesis from multi-view images.

Contrastive Learning Novel View Synthesis

Robust Point Cloud Segmentation with Noisy Annotations

1 code implementation6 Dec 2022 Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao

To handle boundary-level label noise, we also propose a variant ``PNAL-boundary " with a progressive boundary label cleaning strategy.

Point Cloud Segmentation

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles

1 code implementation CVPR 2023 Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao

Through our analysis, we find one important reason is that existing large-scale VL datasets do not contain much commonsense knowledge, which motivates us to improve the commonsense of VL-models from the data perspective.

Data Augmentation Retrieval

Water Simulation and Rendering from a Still Photograph

no code implementations5 Oct 2022 Ryusuke Sugimoto, Mingming He, Jing Liao, Pedro V. Sander

We propose an approach to simulate and render realistic water animation from a single still input photograph.

UniColor: A Unified Framework for Multi-Modal Colorization with Transformer

no code implementations22 Sep 2022 Zhitong Huang, Nanxuan Zhao, Jing Liao

In the first stage, multi-modal conditions are converted into a common representation of hint points.


DifferSketching: How Differently Do People Sketch 3D Objects?

1 code implementation19 Sep 2022 Chufeng Xiao, Wanchao Su, Jing Liao, Zhouhui Lian, Yi-Zhe Song, Hongbo Fu

We invited 70 novice users and 38 expert users to sketch 136 3D objects, which were presented as 362 images rendered from multiple views.

3D Reconstruction

Adaptive Joint Optimization for 3D Reconstruction with Differentiable Rendering

no code implementations15 Aug 2022 Jingbo Zhang, Ziyu Wan, Jing Liao

Due to inevitable noises introduced during scanning and quantization, 3D reconstruction via RGB-D sensors suffers from errors both in geometry and texture, leading to artifacts such as camera drifting, mesh distortion, texture ghosting, and blurriness.

3D Reconstruction Quantization

FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing

1 code implementation11 Aug 2022 Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao

Unlike existing dynamic NeRFs that require dense images as input and can only be modeled for a single identity, our method enables face reconstruction across different persons with few-shot inputs.

3D Face Reconstruction

Neural Parameterization for Dynamic Human Head Editing

no code implementations1 Jul 2022 Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro Sander

Implicit radiance functions emerged as a powerful scene representation for reconstructing and rendering photo-realistic views of a 3D scene.

Bringing Old Films Back to Life

1 code implementation CVPR 2022 Ziyu Wan, Bo Zhang, Dongdong Chen, Jing Liao

We present a learning-based framework, recurrent transformer network (RTN), to restore heavily degraded old films.

Analog Video Restoration

3D Question Answering

no code implementations15 Dec 2021 Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao

To this end, we propose a novel transformer-based 3DQA framework "3DQA-TR", which consists of two encoders for exploiting the appearance and geometry information, respectively.

Question Answering Visual Question Answering

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

2 code implementations CVPR 2022 Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

Furthermore, we propose an inverse optimization method that accurately projects an input image to the latent codes for manipulation to enable editing on real images.

Novel View Synthesis

Deblur-NeRF: Neural Radiance Fields from Blurry Images

no code implementations CVPR 2022 Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander

We demonstrate that our method can be used on both camera motion blur and defocus blur: the two most common types of blur in real scenes.

3D Scene Reconstruction Novel View Synthesis

Poison Ink: Robust and Invisible Backdoor Attack

1 code implementation5 Aug 2021 Jie Zhang, Dongdong Chen, Qidong Huang, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, Nenghai Yu

As the image structure can keep its semantic meaning during the data transformation, such trigger pattern is inherently robust to data transformations.

Backdoor Attack Data Poisoning

Exploring Structure Consistency for Deep Model Watermarking

no code implementations5 Aug 2021 Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Zehua Ma, Weiming Zhang, Gang Hua, Nenghai Yu

However, little attention has been devoted to the protection of DNNs in image processing tasks.

Data Augmentation

Deep Portrait Lighting Enhancement with 3D Guidance

no code implementations4 Aug 2021 Fangzhou Han, Can Wang, Hao Du, Jing Liao

To address this, we present a novel deep learning framework for portrait lighting enhancement based on 3D facial guidance.

Image-to-Image Translation Translation

PD-GAN: Probabilistic Diverse GAN for Image Inpainting

1 code implementation CVPR 2021 Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao

To this end, we propose spatially probabilistic diversity normalization (SPDNorm) inside the modulation to model the probability of generating a pixel conditioned on the context information.

Image Inpainting Image Restoration

Exemplar-Based 3D Portrait Stylization

no code implementations29 Apr 2021 Fangzhou Han, Shuquan Ye, Mingming He, Menglei Chai, Jing Liao

In the second texture style transfer stage, we focus on performing style transfer on the canonical texture by adopting a differentiable renderer to optimize the texture in a multi-view framework.

Style Transfer

Cross-Domain and Disentangled Face Manipulation with 3D Guidance

1 code implementation22 Apr 2021 Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

Face image manipulation via three-dimensional guidance has been widely applied in various interactive scenarios due to its semantically-meaningful understanding and user-friendly controllability.

Attribute Domain Adaptation +1

Let's See Clearly: Contaminant Artifact Removal for Moving Cameras

no code implementations ICCV 2021 Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander

This new dataset and our novel framework lead to our method that is able to address different contaminants and outperforms competitive restoration approaches both qualitatively and quantitatively.

Video Restoration

E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion

2 code implementations15 Apr 2021 Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Lu Yuan, Gang Hua, Nenghai Yu

This paper studies the problem of StyleGAN inversion, which plays an essential role in enabling the pretrained StyleGAN to be used for real image editing tasks.

Face Parsing

High-Fidelity Pluralistic Image Completion with Transformers

4 code implementations ICCV 2021 Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao

Image completion has made tremendous progress with convolutional neural networks (CNNs), because of their powerful texture modeling capacity.

Image Inpainting Vocal Bursts Intensity Prediction

DeFLOCNet: Deep Image Editing via Flexible Low-level Controls

1 code implementation CVPR 2021 Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao, Bing Jiang, Wei Liu

While existing methods combine an input image and these low-level controls for CNN inputs, the corresponding feature representations are not sufficient to convey user intentions, leading to unfaithfully generated content.

Texture Synthesis

Diverse Semantic Image Synthesis via Probability Distribution Modeling

1 code implementation CVPR 2021 Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu

In this paper, we propose a novel diverse semantic image synthesis framework from the perspective of semantic class distributions, which naturally supports diverse generation at semantic or even instance level.

Image-to-Image Translation

Deep Model Intellectual Property Protection via Deep Watermarking

1 code implementation8 Mar 2021 Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, Nenghai Yu

By jointly training the target model and watermark embedding, the extra barrier can even be absorbed into the target model.

Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud

1 code implementation8 Feb 2021 Shuquan Ye, Dongdong Chen, Songfang Han, Ziyu Wan, Jing Liao

Thus, Meta-PU even outperforms the existing methods trained for a specific scale factor only.


Efficient Semantic Image Synthesis via Class-Adaptive Normalization

1 code implementation8 Dec 2020 Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu

Spatially-adaptive normalization (SPADE) is remarkably successful recently in conditional semantic image synthesis \cite{park2019semantic}, which modulates the normalized activation with spatially-varying transformations learned from semantic layouts, to prevent the semantic information from being washed away.

Image Generation

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

no code implementations1 Nov 2020 Hang Zhou, Dongdong Chen, Jing Liao, Weiming Zhang, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Gang Hua, Nenghai Yu

To overcome these shortcomings, this paper proposes a novel label guided adversarial network (LG-GAN) for real-time flexible targeted point cloud attack.

MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing

1 code implementation30 Oct 2020 Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu

In this paper, we present MichiGAN (Multi-Input-Conditioned Hair Image GAN), a novel conditional image generation method for interactive portrait hair manipulation.

Conditional Image Generation

Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search

2 code implementations NeurIPS 2020 Houwen Peng, Hao Du, Hongyuan Yu, Qi Li, Jing Liao, Jianlong Fu

The experiments on ImageNet verify such path distillation method can improve the convergence ratio and performance of the hypernetwork, as well as boosting the training of subnetworks.

Neural Architecture Search object-detection +1

Passport-aware Normalization for Deep Model Protection

1 code implementation NeurIPS 2020 Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

Only when the model IP is suspected to be stolen by someone, the private passport-aware branch is added back for ownership verification.

Model Compression

Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network

1 code implementation12 Oct 2020 Jialu Huang, Jing Liao, Sam Kwong

We proposed a new I2I translation method that generates a new model in the target domain via a series of model transformations on a pre-trained StyleGAN2 model in the source domain.

Colorization Semantic Similarity +4

Old Photo Restoration via Deep Latent Space Translation

8 code implementations14 Sep 2020 Zi-Yu Wan, Bo Zhang, Dong-Dong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen

Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.

Image Restoration Translation

Deep Sketch-guided Cartoon Video Inbetweening

1 code implementation10 Aug 2020 Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander

The key idea of the proposed approach is to estimate the dense cross-domain correspondence between the sketch and cartoon video frames, and employ a blending module with occlusion estimation to synthesize the middle frame guided by the sketch.

Image Generation Occlusion Estimation

Multi-Density Sketch-to-Image Translation Network

no code implementations18 Jun 2020 Jialu Huang, Jing Liao, Zhifeng Tan, Sam Kwong

Sketch-to-image (S2I) translation plays an important role in image synthesis and manipulation tasks, such as photo editing and colorization.

Colorization Image Generation +2

Bringing Old Photos Back to Life

7 code implementations CVPR 2020 Zi-Yu Wan, Bo Zhang, Dong-Dong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen

Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.

Image Restoration Translation

Rethinking Spatially-Adaptive Normalization

no code implementations6 Apr 2020 Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Nenghai Yu

Despite its impressive performance, a more thorough understanding of the true advantages inside the box is still highly demanded, to help reduce the significant computation and parameter overheads introduced by these new structures.

Image Generation

Application of Structural Similarity Analysis of Visually Salient Areas and Hierarchical Clustering in the Screening of Similar Wireless Capsule Endoscopic Images

no code implementations1 Apr 2020 Rui Nie, Huan Yang, Hejuan Peng, Wenbin Luo, Weiya Fan, Jie Zhang, Jing Liao, Fang Huang, Yufeng Xiao

Small intestinal capsule endoscopy is the mainstream method for inspecting small intestinal lesions, but a single small intestinal capsule endoscopy will produce 60, 000 - 120, 000 images, the majority of which are similar and have no diagnostic value.


Model Watermarking for Image Processing Networks

1 code implementation25 Feb 2020 Jie Zhang, Dong-Dong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, HAO CUI, Nenghai Yu

In this way, when the attacker trains one surrogate model by using the input-output pairs of the target model, the hidden watermark will be learned and extracted afterward.

Style Mixer: Semantic-aware Multi-Style Transfer Network

1 code implementation29 Oct 2019 Zixuan Huang, Jinghuai Zhang, Jing Liao

Recent neural style transfer frameworks have obtained astonishing visual quality and flexibility in Single-style Transfer (SST), but little attention has been paid to Multi-style Transfer (MST) which refers to simultaneously transferring multiple styles to the same image.

Style Transfer

Semantic Example Guided Image-to-Image Translation

no code implementations28 Sep 2019 Jialu Huang, Jing Liao, Tak Wu Sam Kwong

Given a reference image and an input in another domain, a semantic matching is first performed between the two visual contents and generates the auxiliary image, which is explicitly encouraged to preserve semantic characteristics of the reference.

Image-to-Image Translation Translation

Document Rectification and Illumination Correction using a Patch-based CNN

1 code implementation20 Sep 2019 Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander

We propose a novel learning method to rectify document images with various distortion types from a single input image.

Optical Character Recognition (OCR)

Blind Geometric Distortion Correction on Images Through Deep Learning

1 code implementation CVPR 2019 Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao

We propose the first general framework to automatically correct different types of geometric distortion in a single input image.

Transductive Zero-Shot Learning with Visual Structure Constraint

1 code implementation NeurIPS 2019 Zi-Yu Wan, Dong-Dong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao

Based on the observation that visual features of test instances can be separated into different clusters, we propose a new visual structure constraint on class centers for transductive ZSL, to improve the generality of the projection function (i. e. alleviate the above domain shift problem).

Test Zero-Shot Learning

CariGANs: Unpaired Photo-to-Caricature Translation

no code implementations1 Nov 2018 Kaidi Cao, Jing Liao, Lu Yuan

Facial caricature is an art form of drawing faces in an exaggerated way to convey humor or sarcasm.

Caricature Generative Adversarial Network +2

Deep Video-Based Performance Cloning

no code implementations21 Aug 2018 Kfir Aberman, Mingyi Shi, Jing Liao, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or

After training a deep generative network using a reference video capturing the appearance and dynamics of a target actor, we are able to generate videos where this actor reenacts other performances.

Deep Exemplar-based Colorization

1 code implementation17 Jul 2018 Mingming He, Dong-Dong Chen, Jing Liao, Pedro V. Sander, Lu Yuan

More importantly, as opposed to other learning-based colorization methods, our network allows the user to achieve customizable results by simply feeding different references.

Colorization Image Retrieval +1

Arbitrary Style Transfer with Deep Feature Reshuffle

1 code implementation CVPR 2018 Shuyang Gu, Congliang Chen, Jing Liao, Lu Yuan

We theoretically prove that our new style loss based on reshuffle connects both global and local style losses respectively used by most parametric and non-parametric neural style transfer methods.

Style Transfer

Neural Best-Buddies: Sparse Cross-Domain Correspondence

2 code implementations10 May 2018 Kfir Aberman, Jing Liao, Mingyi Shi, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or

Correspondence between images is a fundamental problem in computer vision, with a variety of graphics applications.

Image Morphing

Stereoscopic Neural Style Transfer

no code implementations CVPR 2018 Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua

This paper presents the first attempt at stereoscopic neural style transfer, which responds to the emerging demand for 3D movies or AR/VR.

Style Transfer

Progressive Color Transfer with Dense Semantic Correspondences

3 code implementations2 Oct 2017 Mingming He, Jing Liao, Dong-Dong Chen, Lu Yuan, Pedro V. Sander

The proposed method can be successfully extended from one-to-one to one-to-many color transfer.

Visual Attribute Transfer through Deep Image Analogy

5 code implementations2 May 2017 Jing Liao, Yuan YAO, Lu Yuan, Gang Hua, Sing Bing Kang

We propose a new technique for visual attribute transfer across images that may have very different appearance but have perceptually similar semantic structure.


StyleBank: An Explicit Representation for Neural Image Style Transfer

1 code implementation CVPR 2017 Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua

It also enables us to conduct incremental learning to add a new image style by learning a new filter bank while holding the auto-encoder fixed.

Incremental Learning Style Transfer

Coherent Online Video Style Transfer

no code implementations ICCV 2017 Dongdong Chen, Jing Liao, Lu Yuan, Nenghai Yu, Gang Hua

Training a feed-forward network for fast neural style transfer of images is proven to be successful.

Image Stylization Video Style Transfer

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