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06/10/2023
From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm
Neural radiance fields (NeRF) have shown great success in novel view syn...
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05/10/2023
Low-Light Image Enhancement via Structure Modeling and Guidance
This paper proposes a new framework for low-light image enhancement by s...
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03/13/2023
NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
Neural radiance fields (NeRF) show great success in novel view synthesis...
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03/06/2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame
Various recent methods attempt to implement rotation-invariant 3D deep l...
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11/25/2022
Mutual Guidance and Residual Integration for Image Enhancement
Previous studies show the necessity of global and local adjustment for i...
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07/04/2022
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes
To facilitate video denoising research, we construct a compelling datase...
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05/15/2022
Video Frame Interpolation with Transformer
Video frame interpolation (VFI), which aims to synthesize intermediate f...
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03/19/2022
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
For video frame interpolation (VFI), existing deep-learning-based approa...
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12/19/2021
On Efficient Transformer and Image Pre-training for Low-level Vision
Pre-training has marked numerous state of the arts in high-level compute...
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11/30/2021
Revisiting Temporal Alignment for Video Restoration
Long-range temporal alignment is critical yet challenging for video rest...
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11/14/2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
As a basic component of SE(3)-equivariant deep feature learning, steerab...
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06/04/2021
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
Reference-based image super-resolution (RefSR) has shown promising succe...
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05/21/2021
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Single image super-resolution (SISR) deals with a fundamental problem of...
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03/29/2021
Best-Buddy GANs for Highly Detailed Image Super-Resolution
We consider the single image super-resolution (SISR) problem, where a hi...
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03/25/2021
Video Instance Segmentation with a Propose-Reduce Paradigm
Video instance segmentation (VIS) aims to segment and associate all inst...
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11/16/2020
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition
Skeleton-based action recognition has attracted research attentions in r...
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10/09/2020
A deep learning based interactive sketching system for fashion images design
In this work, we propose an interactive system to design diverse high-qu...
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07/23/2020
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Video super-resolution (VSR) aims to utilize multiple low-resolution fra...
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04/12/2020
Image Co-skeletonization via Co-segmentation
Recent advances in the joint processing of images have certainly shown i...
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03/10/2020
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation
Estimating 3D human pose from a single image is a challenging task. This...
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10/26/2019
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
Estimating 3D human pose from a single image is a challenging task. This...
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03/06/2019
Robust Video Background Identification by Dominant Rigid Motion Estimation
The ability to identify the static background in videos captured by a mo...
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09/21/2018
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision
In this paper, a novel deep-learning based framework is proposed to infe...
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06/25/2018
FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information
Although significant advances have been made in the area of human poses ...
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09/08/2017
Locating 3D Object Proposals: A Depth-Based Online Approach
2D object proposals, quickly detected regions in an image that likely co...
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04/20/2015
