no code implementations • 12 Dec 2024 • Lianrui Mu, Xingze Zhou, Wenjie Zheng, Jiangnan Ye, Xiaoyu Liang, Yuchen Yang, Jianhong Bai, Jiedong Zhuang, Haoji Hu
Existing methods often fail to maintain facial feature consistency due to mismatches between the facial landmarks extracted from source videos and the target facial features in the reference image.
1 code implementation • 10 Dec 2024 • Jianhong Bai, Menghan Xia, Xintao Wang, Ziyang Yuan, Xiao Fu, Zuozhu Liu, Haoji Hu, Pengfei Wan, Di Zhang
Recent advancements in video diffusion models have shown exceptional abilities in simulating real-world dynamics and maintaining 3D consistency.
1 code implementation • 24 May 2024 • Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu sun, Jiang Bian
Recent talking avatar generation models have made strides in achieving realistic and accurate lip synchronization with the audio, but often fall short in controlling and conveying detailed expressions and emotions of the avatar, making the generated video less vivid and controllable.
1 code implementation • 16 Apr 2024 • Yuchi Wang, Shuhuai Ren, Rundong Gao, Linli Yao, Qingyan Guo, Kaikai An, Jianhong Bai, Xu sun
Diffusion models have exhibited remarkable capabilities in text-to-image generation.
Ranked #8 on
Image Captioning
on COCO Captions
(ROUGE-L metric)
no code implementations • 20 Feb 2024 • Jianhong Bai, Tianyu He, Yuchi Wang, Junliang Guo, Haoji Hu, Zuozhu Liu, Jiang Bian
Recent advances in text-guided video editing have showcased promising results in appearance editing (e. g., stylization).
no code implementations • 30 Nov 2023 • Lianrui Mu, Jianhong Bai, Xiaoxuan He, Jiangnan Ye, Xiaoyu Liang, Yuchen Yang, Jiedong Zhuang, Haoji Hu
Enhancing the domain generalization performance of Face Anti-Spoofing (FAS) techniques has emerged as a research focus.
no code implementations • 5 Oct 2023 • Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu
Quantization has emerged as a promising direction for model compression.
1 code implementation • NeurIPS 2023 • Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu
In this paper, we formally define a more realistic task as distribution-agnostic generalized category discovery (DA-GCD): generating fine-grained predictions for both close- and open-set classes in a long-tailed open-world setting.
2 code implementations • 8 Jun 2023 • Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu
Recent work shows that the long-tailed learning performance could be boosted by sampling extra in-domain (ID) data for self-supervised training, however, large-scale ID data which can rebalance the minority classes are expensive to collect.