65 citations · 510 across the 47 of their papers we have counts for
11 papers · 2 filters
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
Jianglin Fu, Shikai Li, Yuming Jiang +3
Human generation has achieved significant progress. Nonetheless, existing methods still struggle to synthesize specific regions such as faces and hands. We argue that the main reas…
Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis
Linsen Song, Wayne Wu, Chaoyou Fu +2
Existing automated dubbing methods are usually designed for Professionally Generated Content (PGC) production, which requires massive training data and training time to learn a per…
Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis
Yuxin Wang, Wayne Wu, Dan Xu
Implicit neural representations have shown powerful capacity in modeling real-world 3D scenes, offering superior performance in novel view synthesis. In this paper, we target a mor…
DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
Wei Cheng, Ruixiang Chen, Wanqi Yin +18
Realistic human-centric rendering plays a key role in both computer vision and computer graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing…
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
Dongwei Pan, Long Zhuo, Jingtan Piao +13
Synthesizing high-fidelity head avatars is a central problem for computer vision and graphics. While head avatar synthesis algorithms have advanced rapidly, the best ones still fac…
HyperStyle3D: Text-Guided 3D Portrait Stylization via Hypernetworks
Zhuo Chen, Xudong Xu, Yichao Yan +5
Portrait stylization is a long-standing task enabling extensive applications. Although 2D-based methods have made great progress in recent years, real-world applications such as me…
Text2Performer: Text-Driven Human Video Generation
Yuming Jiang, Shuai Yang, Tong Liang Koh +3
Text-driven content creation has evolved to be a transformative technique that revolutionizes creativity. Here we study the task of text-driven human video generation, where a vide…
MonoHuman: Animatable Human Neural Field from Monocular Video
Zhengming Yu, Wei Cheng, Xian Liu +2
Animating virtual avatars with free-view control is crucial for various applications like virtual reality and digital entertainment. Previous studies have attempted to utilize the…
CelebV-Text: A Large-Scale Facial Text-Video Dataset
Jianhui Yu, Hao Zhu, Liming Jiang +3
Text-driven generation models are flourishing in video generation and editing. However, face-centric text-to-video generation remains a challenge due to the lack of a suitable data…
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
Zhitao Yang, Zhongang Cai, Haiyi Mei +12
Synthetic data has emerged as a promising source for 3D human research as it offers low-cost access to large-scale human datasets. To advance the diversity and annotation quality o…
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Tong Wu, Jiarui Zhang, Xiao Fu +9
Recent advances in modeling 3D objects mostly rely on synthetic datasets due to the lack of large-scale realscanned 3D databases. To facilitate the development of 3D perception, re…