51 citations · 240 across the 18 of their papers we have counts for
24 papers · 1 filter
Audio-Driven Co-Speech Gesture Video Generation
Xian Liu, Qianyi Wu, Hang Zhou +4
Co-speech gesture is crucial for human-machine interaction and digital entertainment. While previous works mostly map speech audio to human skeletons (e.g., 2D keypoints), directly…
VLG: General Video Recognition with Web Textual Knowledge
Jintao Lin, Zhaoyang Liu, Wenhai Wang +2
Video recognition in an open and dynamic world is quite challenging, as we need to handle different settings such as close-set, long-tail, few-shot and open-set. By leveraging sema…
Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang, Shuai Yang, Haonan Qiu +3
Generating high-quality and diverse human images is an important yet challenging task in vision and graphics. However, existing generative models often fall short under the high di…
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
Jianglin Fu, Shikai Li, Yuming Jiang +5
Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry. Existing studies in this field mainly…
Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis
Wei Cheng, Su Xu, Jingtan Piao +4
This work targets at using a general deep learning framework to synthesize free-viewpoint images of arbitrary human performers, only requiring a sparse number of camera views as in…
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
Yanbo Xu, Yueqin Yin, Liming Jiang +5
Recent advances like StyleGAN have promoted the growth of controllable facial editing. To address its core challenge of attribute decoupling in a single latent space, attempts have…