3 citations · 4 across the 7 of their papers we have counts for
8 papers
Fusing Transferred Priors and Physics-based Decomposition for Underwater Image Enhancement
Haochen Hu, Yanrui Bin, Zhengyan Zhang +3
The underwater images are captured within diverse water-medium conditions, leading to complex degradation, including color bias, low contrast, and blur effect. Recently, learning-b…
RQUL-UIE: Revitalizing Quality-Unstable Labels for Underwater Image Enhancement via In-Dataset Self-Supervision
Haochen Hu, Yanrui Bin, Chih-yung Wen +1
Underwater Image Enhancement (UIE) is essential for mitigating degradations caused by water medium. Although learning-based methods have advanced significantly, most rely on paired…
NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors
Yanrui Bin, Wenbo Hu, Haoyuan Wang +2
Surface normal estimation serves as a cornerstone for a spectrum of computer vision applications. While numerous efforts have been devoted to static image scenarios, ensuring tempo…
Learning 3D-Aware GANs from Unposed Images with Template Feature Field
Xinya Chen, Hanlei Guo, Yanrui Bin +5
Collecting accurate camera poses of training images has been shown to well serve the learning of 3D-aware generative adversarial networks (GANs) yet can be quite expensive in pract…
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
Xinya Chen, Jiaxin Huang, Yanrui Bin +2
Unsupervised learning of 3D-aware generative adversarial networks has lately made much progress. Some recent work demonstrates promising results of learning human generative models…
Adversarial Refinement Network for Human Motion Prediction
Xianjin Chao, Yanrui Bin, Wenqing Chu +6
Human motion prediction aims to predict future 3D skeletal sequences by giving a limited human motion as inputs. Two popular methods, recurrent neural networks and feed-forward dee…
Adversarial Semantic Data Augmentation for Human Pose Estimation
Yanrui Bin, Xuan Cao, Xinya Chen +7
Human pose estimation is the task of localizing body keypoints from still images. The state-of-the-art methods suffer from insufficient examples of challenging cases such as symmet…
Relevant Region Prediction for Crowd Counting
Xinya Chen, Yanrui Bin, Changxin Gao +2
Crowd counting is a concerned and challenging task in computer vision. Existing density map based methods excessively focus on the individuals' localization which harms the crowd c…