Search Results for author: Yanwen Guo

Found 42 papers, 9 papers with code

Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention

no code implementations ECCV 2020 Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo

We propose a deep convolutional neural network (CNN) to estimate surface normal from a single color image accompanied with a low-quality depth channel.

Surface Normal Estimation

Semantic Human Mesh Reconstruction with Textures

no code implementations CVPR 2024 Xiaoyu Zhan, Jianxin Yang, Yuanqi Li, Jie Guo, Yanwen Guo, Wenping Wang

SHERT applies semantic- and normal-based sampling between the detailed surface (e. g. mesh and SDF) and the corresponding SMPL-X model to obtain a partially sampled semantic mesh and then generates the complete semantic mesh by our specifically designed self-supervised completion and refinement networks.

On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy

no code implementations1 Feb 2024 Letian Huang, Jiayang Bai, Jie Guo, Yuanqi Li, Yanwen Guo

This paper addresses the projection error function of 3D Gaussian Splatting, commencing with the residual error from the first-order Taylor expansion of the projection function.

Neural Rendering

360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming

no code implementations1 Feb 2024 Jiayang Bai, Letian Huang, Jie Guo, Wen Gong, Yuanqi Li, Yanwen Guo

This technique typically takes perspective images as input and optimizes a set of 3D elliptical Gaussians by splatting them onto the image planes, resulting in 2D Gaussians.

Novel View Synthesis

LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes

no code implementations CVPR 2024 Yanwen Guo, Yuanqi Li, Dayong Ren, Xiaohong Zhang, Jiawei Li, Liang Pu, Changfeng Ma, Xiaoyu Zhan, Jie Guo, Mingqiang Wei, Yan Zhang, Piaopiao Yu, Shuangyu Yang, Donghao Ji, Huisheng Ye, Hao Sun, Yansong Liu, Yinuo Chen, Jiaqi Zhu, Hongyu Liu

In this paper we present LiDAR-Net a new real-scanned indoor point cloud dataset containing nearly 3. 6 billion precisely point-level annotated points covering an expansive area of 30000m^2.

FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions

no code implementations CVPR 2024 Zhen Liu, Hao Zhu, Qi Zhang, Jingde Fu, Weibing Deng, Zhan Ma, Yanwen Guo, Xun Cao

Implicit Neural Representation (INR), which utilizes a neural network to map coordinate inputs to corresponding attributes, is causing a revolution in the field of signal processing.

Manifold Path Guiding for Importance Sampling Specular Chains

no code implementations24 Sep 2023 Zhimin Fan, Pengpei Hong, Jie Guo, Changqing Zou, Yanwen Guo, Ling-Qi Yan

We verify that importance sampling the seed chain in the continuous space reaches the goal of importance sampling the discrete admissible specular chain.

Joint Depth Estimation and Mixture of Rain Removal From a Single Image

1 code implementation31 Mar 2023 Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, Yanwen Guo, Mingqiang Wei

In this study, we propose an effective image deraining paradigm for Mixture of rain REmoval, called DEMore-Net, which takes full account of the MOR effect.

Depth Estimation Rain Removal

Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction

no code implementations18 Mar 2023 Jiayang Bai, Zhen He, Shan Yang, Jie Guo, Zhenyu Chen, Yan Zhang, Yanwen Guo

Recent methods mostly rely on convolutional neural networks (CNNs) to fill the missing contents in the warped panorama.

HDR Reconstruction

Self-NeRF: A Self-Training Pipeline for Few-Shot Neural Radiance Fields

no code implementations10 Mar 2023 Jiayang Bai, Letian Huang, Wen Gong, Jie Guo, Yanwen Guo

Recently, Neural Radiance Fields (NeRF) have emerged as a potent method for synthesizing novel views from a dense set of images.

UHDNeRF: Ultra-High-Definition Neural Radiance Fields

no code implementations ICCV 2023 Quewei Li, Feichao Li, Jie Guo, Yanwen Guo

We propose UHDNeRF, a new framework for novel view synthesis on the challenging ultra-high-resolution (e. g., 4K) real-world scenes.

4k Novel View Synthesis

Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion

no code implementations CVPR 2023 Changfeng Ma, Yinuo Chen, Pengxiao Guo, Jie Guo, Chongjun Wang, Yanwen Guo

Extensive experiments and comparisons demonstrate our superiority and generalization and show that our method achieves state-of-the-art performance on unsupervised completion of real scene objects.

Point Cloud Completion

UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration

1 code implementation4 Aug 2022 Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei

High-confidence overlap prediction and accurate correspondences are critical for cutting-edge models to align paired point clouds in a partial-to-partial manner.

Decoder Point Cloud Registration

GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling

1 code implementation14 Jul 2022 Chen Chen, Yisen Wang, Honghua Chen, Xuefeng Yan, Dayong Ren, Yanwen Guo, Haoran Xie, Fu Lee Wang, Mingqiang Wei

Semantic segmentation of point clouds, aiming to assign each point a semantic category, is critical to 3D scene understanding. Despite of significant advances in recent years, most of existing methods still suffer from either the object-level misclassification or the boundary-level ambiguity.

Decoder Object +2

Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation

no code implementations18 Mar 2022 Changfeng Ma, Yang Yang, Jie Guo, Chongjun Wang, Yanwen Guo

We propose in this paper an end-to-end network, named CS-Net, to complete the point clouds contaminated by noises or containing outliers.

Decoder Point Cloud Completion +1

Deep Point Cloud Simplification for High-quality Surface Reconstruction

no code implementations17 Mar 2022 Yuanqi Li, Jianwei Guo, Xinran Yang, Shun Liu, Jie Guo, Xiaopeng Zhang, Yanwen Guo

In this paper, we propose a novel point cloud simplification network (PCS-Net) dedicated to high-quality surface mesh reconstruction while maintaining geometric fidelity.

Scene Understanding Surface Reconstruction +1

Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction

no code implementations13 Feb 2022 Jiayang Bai, Jie Guo, Chenchen Wan, Zhenyu Chen, Zhen He, Shan Yang, Piaopiao Yu, Yan Zhang, Yanwen Guo

At its core is a new lighting model (dubbed DSGLight) based on depth-augmented Spherical Gaussians (SG) and a Graph Convolutional Network (GCN) that infers the new lighting representation from a single LDR image of limited field-of-view.

Graph Learning Lighting Estimation

GLPanoDepth: Global-to-Local Panoramic Depth Estimation

1 code implementation6 Feb 2022 Jiayang Bai, Shuichang Lai, Haoyu Qin, Jie Guo, Yanwen Guo

In this paper, we propose a learning-based method for predicting dense depth values of a scene from a monocular omnidirectional image.

Depth Estimation

Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation

no code implementations5 Jan 2022 Yang Zhang, Yang Yang, Chenyun Xiong, Guodong Sun, Yanwen Guo

Encoder-decoder models have been widely used in RGBD semantic segmentation, and most of them are designed via a two-stream network.

Ranked #16 on Semantic Segmentation on SUN-RGBD (using extra training data)

Decoder RGBD Semantic Segmentation +2

Temporal Alignment Prediction for Few-Shot Video Classification

no code implementations26 Jul 2021 Fei Pan, Chunlei Xu, Jie Guo, Yanwen Guo

In order to obtain the similarity of a pair of videos, we predict the alignment scores between all pairs of temporal positions in the two videos with the temporal alignment prediction function.

Classification Video Classification

A Transductive Maximum Margin Classifier for Few-Shot Learning

no code implementations26 Jul 2021 Fei Pan, Chunlei Xu, Jie Guo, Yanwen Guo

We introduce a transductive maximum margin classifier for few-shot learning (FS-TMMC).

Few-Shot Learning

GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition

no code implementations CVPR 2021 Fengmin Shi, Jie Guo, Haonan Zhang, Shan Yang, Xiying Wang, Yanwen Guo

We demonstrate that local geometry has a greater impact on the sound than the global geometry and offers more cues in material recognition.

Material Recognition

Rendering Discrete Participating Media with Geometrical Optics Approximation

no code implementations24 Feb 2021 Jie Guo, Bingyang Hu, Yanjun Chen, Yuanqi Li, Yanwen Guo, Ling-Qi Yan

We consider the scattering of light in participating media composed of sparsely and randomly distributed discrete particles.

Graphics Optics

A Unified Light Framework for Real-time Fault Detection of Freight Train Images

no code implementations31 Jan 2021 Yang Zhang, Moyun Liu, Yang Yang, Yanwen Guo, Huiming Zhang

Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements.

Fault Detection Region Proposal

Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing

no code implementations ICCV 2021 Piaopiao Yu, Jie Guo, Fan Huang, Cheng Zhou, Hongwei Che, Xiao Ling, Yanwen Guo

However, naively compressing an outdoor panorama into a low-dimensional latent vector, as existing models have done, causes two major problems.

Representation Learning

Hierarchical Context Embedding for Region-based Object Detection

no code implementations ECCV 2020 Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo

To address this issue, we present a simple but effective Hierarchical Context Embedding (HCE) framework, which can be applied as a plug-and-play component, to facilitate the classification ability of a series of region-based detectors by mining contextual cues.

Object object-detection +1

Image Stitching Based on Planar Region Consensus

no code implementations6 Jul 2020 Aocheng Li, Jie Guo, Yanwen Guo

We specifically design a new module to make fully use of existing semantic segmentation networks to accommodate planar segmentation.

Image Stitching Segmentation +1

Transferable Multi-level Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multi-task Learning

no code implementations30 Jun 2020 Liqiang Lin, Qingqing Jia, Zheng Cheng, Yanyan Jiang, Yanwen Guo, Jing Ma

The development of efficient models for predicting specific properties through machine learning is of great importance for the innovation of chemistry and material science.

Drug Discovery Formation Energy +1

Affinity Fusion Graph-based Framework for Natural Image Segmentation

2 code implementations24 Jun 2020 Yang Zhang, Moyun Liu, Jingwu He, Fei Pan, Yanwen Guo

The proposed framework combines adjacency-graphs and kernel spectral clustering based graphs (KSC-graphs) according to a new definition named affinity nodes of multi-scale superpixels.

Clustering Image Segmentation +3

FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces

no code implementations17 May 2020 Jingwu He, Chuan Wang, Yang Zhang, Jie Guo, Yanwen Guo

To the best of our knowledge, we are the first to enhance the facial attractiveness with GANs in both geometry and appearance aspects.

Hybrid Models for Open Set Recognition

no code implementations ECCV 2020 Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo

We propose the OpenHybrid framework, which is composed of an encoder to encode the input data into a joint embedding space, a classifier to classify samples to inlier classes, and a flow-based density estimator to detect whether a sample belongs to the unknown category.

Open Set Learning Out-of-Distribution Detection

Viewpoint Selection for Photographing Architectures

no code implementations6 Mar 2017 Jingwu He, Linbo Wang, Wenzhe Zhou, Hongjie Zhang, Xiufen Cui, Yanwen Guo

Unlike previous efforts devoted to photo quality assessment which mainly rely on 2D image features, we show in this paper combining 2D image features extracted from images with 3D geometric features computed on the 3D models can result in more reliable evaluation of viewpoint quality.

2k Clustering

Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models

no code implementations21 Feb 2017 Yu-ting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal

In order to bridge the gap between panel attributes and the composition within each panel, we also propose a recursive page splitting algorithm to generate the panel layout for a poster.

Learning to Generate Posters of Scientific Papers

no code implementations5 Apr 2016 Yu-ting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal

Then, given inferred layout and attributes, composition of graphical elements within each panel is synthesized.

Multi-view Metric Learning for Multi-view Video Summarization

no code implementations25 May 2014 Yanwei Fu, Lingbo Wang, Yanwen Guo

Traditional methods on video summarization are designed to generate summaries for single-view video records; and thus they cannot fully exploit the redundancy in multi-view video records.

Clustering Metric Learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.