research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
07/04/2022
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes
To facilitate video denoising research, we construct a compelling datase...
research
∙
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...
research
∙
03/29/2021
Best-Buddy GANs for Highly Detailed Image Super-Resolution
We consider the single image super-resolution (SISR) problem, where a hi...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
09/08/2017
Locating 3D Object Proposals: A Depth-Based Online Approach
2D object proposals, quickly detected regions in an image that likely co...
research
∙
03/06/2015