2 citations · 3 across the 5 of their papers we have counts for
8 papers · 1 filter
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
Wenyan Cong, Hanxue Liang, Peihao Wang +5
Cross-scene generalizable NeRF models, which can directly synthesize novel views of unseen scenes, have become a new spotlight of the NeRF field. Several existing attempts rely on…
Deep Image Harmonization with Learnable Augmentation
Li Niu, Junyan Cao, Wenyan Cong +1
The goal of image harmonization is adjusting the foreground appearance in a composite image to make the whole image harmonious. To construct paired training images, existing datase…
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Dejia Xu, Xingqian Xu, Wenyan Cong +2
Have you ever imagined how it would look if we placed new objects into paintings? For example, what would it look like if we placed a basketball into Claude Monet's ``Water Lilies,…
Deep Video Harmonization with Color Mapping Consistency
Xinyuan Lu, Shengyuan Huang, Li Niu +2
Video harmonization aims to adjust the foreground of a composite video to make it compatible with the background. So far, video harmonization has only received limited attention an…
HYouTube: Video Harmonization Dataset
Xinyuan Lu, Shengyuan Huang, Li Niu +2
Video composition aims to generate a composite video by combining the foreground of one video with the background of another video, but the inserted foreground may be incompatible…
BargainNet: Background-Guided Domain Translation for Image Harmonization
Wenyan Cong, Li Niu, Jianfu Zhang +2
Image composition is a fundamental operation in image editing field. However, unharmonious foreground and background downgrade the quality of composite image. Image harmonization,…