Search Results for author: Jiangbo Lu

Found 38 papers, 16 papers with code

From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm

1 code implementation10 Jun 2023 Kun Zhou, Wenbo Li, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu

To address this, we propose NeRFLiX, a general NeRF-agnostic restorer paradigm that learns a degradation-driven inter-viewpoint mixer.

Novel View Synthesis

Low-Light Image Enhancement via Structure Modeling and Guidance

1 code implementation CVPR 2023 Xiaogang Xu, RuiXing Wang, Jiangbo Lu

Moreover, to improve the appearance modeling, which is implemented with a simple U-Net, a novel structure-guided enhancement module is proposed with structure-guided feature synthesis layers.

Edge Detection Low-Light Image Enhancement

CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame

1 code implementation6 Mar 2023 Yujing Lou, Zelin Ye, Yang You, Nianjuan Jiang, Jiangbo Lu, Weiming Wang, Lizhuang Ma, Cewu Lu

CRIN directly takes the coordinates of points as input and transforms local points into rotation-invariant representations via centrifugal reference frames.

Edge Preserving Implicit Surface Representation of Point Clouds

no code implementations12 Jan 2023 Xiaogang Wang, Yuhang Cheng, Liang Wang, Jiangbo Lu, Kai Xu, GuoQiang Xiao

Among them, the differential Laplican regularizer can effectively alleviate the implicit surface unsmoothness caused by the point cloud quality deteriorates; Meanwhile, in order to reduce the excessive smoothing at the edge regions of implicit suface, we proposed a dynamic edge extract strategy for sampling near the sharp edge of point cloud, which can effectively avoid the Laplacian regularizer from smoothing all regions.

3D Reconstruction Surface Reconstruction

Mutual Guidance and Residual Integration for Image Enhancement

no code implementations25 Nov 2022 Kun Zhou, Kenkun Liu, Wenbo Li, Xiaoguang Han, Jiangbo Lu

To address those issues, we propose a novel mutual guidance network (MGN) to perform effective bidirectional global-local information exchange while keeping a compact architecture.

Image Enhancement Philosophy

Towards Real-World Video Denosing: A Practical Video Denosing Dataset and Network

no code implementations4 Jul 2022 Xiaogang Xu, Yitong Yu, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Jiaya Jia

Moreover, we also propose a new video denoising framework, called Recurrent Video Denoising Transformer (RVDT), which can achieve SOTA performance on PVDD and other current video denoising benchmarks.

Denoising Video Denoising

Video Frame Interpolation with Transformer

1 code implementation CVPR 2022 Liying Lu, Ruizheng Wu, Huaijia Lin, Jiangbo Lu, Jiaya Jia

Video frame interpolation (VFI), which aims to synthesize intermediate frames of a video, has made remarkable progress with development of deep convolutional networks over past years.

Video Frame Interpolation

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

1 code implementation19 Dec 2021 Wenbo Li, Xin Lu, Shengju Qian, Jiangbo Lu, Xiangyu Zhang, Jiaya Jia

Pre-training has marked numerous state of the arts in high-level computer vision, while few attempts have ever been made to investigate how pre-training acts in image processing systems.

Denoising Super-Resolution

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space

1 code implementation NeurIPS 2021 Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia

In this paper, we propose a novel design of Sparse Steerable Convolution (SS-Conv) to address the shortcoming; SS-Conv greatly accelerates steerable convolution with sparse tensors, while strictly preserving the property of SE(3)-equivariance.

6D Pose Estimation Pose Tracking

LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

2 code implementations NeurIPS 2020 Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia

Single image super-resolution (SISR) deals with a fundamental problem of upsampling a low-resolution (LR) image to its high-resolution (HR) version.

Image Deblocking Image Denoising +2

Best-Buddy GANs for Highly Detailed Image Super-Resolution

2 code implementations29 Mar 2021 Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia

We consider the single image super-resolution (SISR) problem, where a high-resolution (HR) image is generated based on a low-resolution (LR) input.

Image Super-Resolution

Video Instance Segmentation with a Propose-Reduce Paradigm

1 code implementation ICCV 2021 Huaijia Lin, Ruizheng Wu, Shu Liu, Jiangbo Lu, Jiaya Jia

Video instance segmentation (VIS) aims to segment and associate all instances of predefined classes for each frame in videos.

Instance Segmentation Semantic Segmentation +2

Self-Supervised Image Prior Learning With GMM From a Single Noisy Image

1 code implementation ICCV 2021 Haosen Liu, Xuan Liu, Jiangbo Lu, Shan Tan

It can simultaneously achieve the noise level estimation and the image prior learning directly from only a single noisy image.

Image Denoising Noise Estimation +1

A deep learning based interactive sketching system for fashion images design

no code implementations9 Oct 2020 Yao Li, Xianggang Yu, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu

In this work, we propose an interactive system to design diverse high-quality garment images from fashion sketches and the texture information.

Intrinsic Image Decomposition Texture Synthesis

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

1 code implementation ECCV 2020 Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia

Motivated by these findings, we propose a temporal multi-correspondence aggregation strategy to leverage similar patches across frames, and a cross-scale nonlocal-correspondence aggregation scheme to explore self-similarity of images across scales.

Optical Flow Estimation Video Super-Resolution

Image Co-skeletonization via Co-segmentation

no code implementations12 Apr 2020 Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan

Object skeletonization in a single natural image is a challenging problem because there is hardly any prior knowledge about the object.

Robust Video Background Identification by Dominant Rigid Motion Estimation

no code implementations6 Mar 2019 Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong, Jiangbo Lu, Xun Xu

In this paper, we propose an efficient local-to-global method to identify background, based on the assumption that as long as there is sufficient camera motion, the cumulative background features will have the largest amount of trajectories.

Motion Estimation Motion Segmentation +1

Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision

no code implementations21 Sep 2018 Kun Zhou, Jinmiao Cai, Yao Li, Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu

In this paper, a novel deep-learning based framework is proposed to infer 3D human poses from a single image.

3D Human Pose Estimation

FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information

no code implementations25 Jun 2018 Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kun Zhou, Kui Jia, Jiangbo Lu

Although significant advances have been made in the area of human poses estimation from images using deep Convolutional Neural Network (ConvNet), it remains a big challenge to perform 3D pose inference in-the-wild.

3D Human Pose Estimation

Locating 3D Object Proposals: A Depth-Based Online Approach

no code implementations8 Sep 2017 Ramanpreet Singh Pahwa, Jiangbo Lu, Nianjuan Jiang, Tian Tsong Ng, Minh N. Do

Using efficient but robust registration enables us to combine multiple frames of a scene in near real time and generate 3D bounding boxes for potential 3D regions of interest.

object-detection Object Detection +1

Object Co-Skeletonization With Co-Segmentation

no code implementations CVPR 2017 Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan

Recent advances in the joint processing of images have certainly shown its advantages over the individual processing.

SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs

no code implementations ICCV 2015 Yu Li, Dongbo Min, Michael S. Brown, Minh N. Do, Jiangbo Lu

However, the quality of the PMBP solution is tightly coupled with the local window size, over which the raw data cost is aggregated to mitigate ambiguity in the data constraint.

Optical Flow Estimation

Direct Structure Estimation for 3D Reconstruction

no code implementations CVPR 2015 Nianjuan Jiang, Daniel Lin, Minh N. Do, Jiangbo Lu

Most conventional structure-from-motion (SFM) techniques require camera pose estimation before computing any scene structure.

3D Reconstruction Homography Estimation +2

Weakly Supervised Fine-Grained Image Categorization

no code implementations20 Apr 2015 Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet-Anh Nguyen, Minh N. Do

Most existing works heavily rely on object / part detectors to build the correspondence between object parts by using object or object part annotations inside training images.

Fine-Grained Image Classification Image Categorization

DAISY Filter Flow: A Generalized Discrete Approach to Dense Correspondences

no code implementations CVPR 2014 Hongsheng Yang, Wen-Yan Lin, Jiangbo Lu

Fundamental challenges to such an image or scene alignment task are often multifold, which render many existing techniques fall short of producing dense correspondences robustly and efficiently.

Optical Flow Estimation

Patch Match Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation

no code implementations CVPR 2013 Jiangbo Lu, Hongsheng Yang, Dongbo Min, Minh N. Do

Recent studies on fast cost volume filtering based on efficient edge-aware filters have provided a fast alternative to solve discrete labeling problems, with the complexity independent of the support window size.

Optical Flow Estimation Superpixels

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