activity
20182026
most citedBlind Image Super-Resolution via Contrastive Representation Learning

34 citations · 116 across the 27 of their papers we have counts for

collaborators

20 papers

cs.CV2025

MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation

Muyu Xu, Fangneng Zhan, Xiaoqin Zhang +2

Sparse-view 3D Gaussian splatting seeks to render high-quality novel views of 3D scenes from a limited set of input images. While recent pose-free feed-forward methods leveraging p…

cs.CV2025

SOGS: Second-Order Anchor for Advanced 3D Gaussian Splatting

Jiahui Zhang, Fangneng Zhan, Ling Shao +1

Anchor-based 3D Gaussian splatting (3D-GS) exploits anchor features in 3D Gaussian prediction, which has achieved impressive 3D rendering quality with reduced Gaussian redundancy.…

cs.CV20222 cited

Marginal Contrastive Correspondence for Guided Image Generation

Fangneng Zhan, Yingchen Yu, Rongliang Wu +3

Exemplar-based image translation establishes dense correspondences between a conditional input and an exemplar (from two different domains) for leveraging detailed exemplar styles…

cs.CV2022

Fourier Document Restoration for Robust Document Dewarping and Recognition

Chuhui Xue, Zichen Tian, Fangneng Zhan +2

State-of-the-art document dewarping techniques learn to predict 3-dimensional information of documents which are prone to errors while dealing with documents with irregular distort…

cs.CV20221 cited

Modulated Contrast for Versatile Image Synthesis

Fangneng Zhan, Jiahui Zhang, Yingchen Yu +2

Perceiving the similarity between images has been a long-standing and fundamental problem underlying various visual generation tasks. Predominant approaches measure the inter-image…

cs.CV20216 cited

Conditional Directed Graph Convolution for 3D Human Pose Estimation

Wenbo Hu, Changgong Zhang, Fangneng Zhan +2

Graph convolutional networks have significantly improved 3D human pose estimation by representing the human skeleton as an undirected graph. However, this representation fails to r…