no code implementations • 29 Mar 2024 • Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang
This pre-processing is usually conducted via a Structure-from-Motion (SfM) pipeline, a procedure that can be slow and unreliable, particularly in sparse-view scenarios with insufficient matched features for accurate reconstruction.
1 code implementation • ICCV 2023 • Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma, Yi Wang, Zhangyang Wang
Cross-scene generalizable NeRF models, which can directly synthesize novel views of unseen scenes, have become a new spotlight of the NeRF field.
1 code implementation • ICCV 2023 • Li Niu, Junyan Cao, Wenyan Cong, Liqing Zhang
In particular, our designed SYthetic COmposite Network (SycoNet) takes in a real image with foreground mask and a random vector to learn suitable color transformation, which is applied to the foreground of this real image to produce a synthetic composite image.
no code implementations • 20 Jul 2023 • Dejia Xu, Xingqian Xu, Wenyan Cong, Humphrey Shi, Zhangyang Wang
We propose Reference-based Painterly Inpainting, a novel task that crosses the wild reference domain gap and implants novel objects into artworks.
1 code implementation • 2 May 2022 • Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang
Video harmonization aims to adjust the foreground of a composite video to make it compatible with the background.
1 code implementation • 18 Sep 2021 • Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang
In this work, we construct a new video harmonization dataset HYouTube by adjusting the foreground of real videos to create synthetic composite videos.
1 code implementation • CVPR 2022 • Wenyan Cong, Xinhao Tao, Li Niu, Jing Liang, Xuesong Gao, Qihao Sun, Liqing Zhang
Conventional image harmonization methods learn global RGB-to-RGB transformation which could effortlessly scale to high resolution, but ignore diverse local context.
Ranked #3 on Image Harmonization on HAdobe5k(1024$\times$1024)
4 code implementations • 28 Jun 2021 • Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang
We have also contributed the first image composition toolbox: libcom https://github. com/bcmi/libcom, which assembles 10+ image composition related functions (e. g., image blending, image harmonization, object placement, shadow generation, generative composition).
1 code implementation • 31 Mar 2021 • Junyan Cao, Wenyan Cong, Li Niu, Jianfu Zhang, Liqing Zhang
Image harmonization has been significantly advanced with large-scale harmonization dataset.
1 code implementation • 19 Sep 2020 • Wenyan Cong, Li Niu, Jianfu Zhang, Jing Liang, Liqing Zhang
Therefore, we propose an image harmonization network with a novel domain code extractor and well-tailored triplet losses, which could capture the background domain information to guide the foreground harmonization.
Ranked #13 on Image Harmonization on iHarmony4
1 code implementation • CVPR 2020 • Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang
Image composition is an important operation in image processing, but the inconsistency between foreground and background significantly degrades the quality of composite image.
Ranked #6 on Image Harmonization on HAdobe5k(1024$\times$1024)
1 code implementation • 28 Aug 2019 • Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang
Image composition is an important operation in image processing, but the inconsistency between foreground and background significantly degrades the quality of composite image.