no code implementations • 21 Apr 2024 • Zhilin Huang, Yijie Yu, Ling Yang, Chujun Qin, Bing Zheng, Xiawu Zheng, Zikun Zhou, YaoWei Wang, Wenming Yang
With the advancement of AIGC, video frame interpolation (VFI) has become a crucial component in existing video generation frameworks, attracting widespread research interest.
1 code implementation • 15 Jan 2024 • Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
Then the selected protein-ligand subcomplex is processed with SE(3)-equivariant neural networks, and transmitted back to each atom of the complex for augmenting the target-aware 3D molecule diffusion generation with binding interaction information.
no code implementations • NeurIPS 2023 • Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
In this way, each point can better reconstruct itself by preserving its semantic connections with neighborhood context.
Ranked #1 on Image Inpainting on CelebA (LPIPS metric)
1 code implementation • 28 Jun 2023 • Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
To remove class spurious feature caused by distribution shifts, we propose Individual Graph Information Bottleneck (I-GIB) which discards irrelevant information by minimizing the mutual information between the input graph and its embeddings.
1 code implementation • 21 Nov 2022 • Ling Yang, Zhilin Huang, Yang song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
Generating images from graph-structured inputs, such as scene graphs, is uniquely challenging due to the difficulty of aligning nodes and connections in graphs with objects and their relations in images.
no code implementations • 3 Apr 2022 • Zhilin Huang, Chujun Qin, Zhenyu Weng, Yuesheng Zhu
Recent attention-based image inpainting methods have made inspiring progress by modeling long-range dependencies within a single image.
no code implementations • 5 Nov 2021 • Zhilin Huang, Chujun Qin, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu
Recent works in image inpainting have shown that structural information plays an important role in recovering visually pleasing results.