3 citations · 4 across the 6 of their papers we have counts for
7 papers · 1 filter
Vorch-Streamer: Extending Human Audio-Visual Generation to Real-Time Long-Form Streaming
Menglin Han, Yang Ding, Yulei Lu +6
Real-time long-form avatar audio-video generation requires causal, continuous synthesis while maintaining audiovisual synchronization and visual consistency. Adapting a pretrained…
Vorch-Human: Unified Multi-Task Human-Centric Generation via Long-Horizon Continuation
Yang Ding, Haoran Yu, Xin Ma +8
Human-centric audio-visual generation spans several closely related tasks: animating a person from driving speech, jointly generating speech and video from a voice reference, and s…
Vorch-Omni: Multi-Task Orchestration of Sight and Sound
Vorch Team, Xiaoyu Chen, Yang Ding +25
Recent advances in generative video modeling have enabled diverse generation, reference-based synthesis, extension, and editing, but existing approaches often rely on fragmented ta…
ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning
Bangya Liu, Xinyu Gong, Zelin Zhao +6
Human-object interaction (HOI) video generation has garnered increasing attention due to its promising applications in digital humans, e-commerce, advertising, and robotics imitati…
DreamSwapV: Mask-guided Subject Swapping for Any Customized Video Editing
Weitao Wang, Zichen Wang, Hongdeng Shen +6
With the rapid progress of video generation, demand for customized video editing is surging, where subject swapping constitutes a key component yet remains under-explored. Prevaili…
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation
Yulei Lu, Yawei Luo, Li Zhang +3
A thriving trend for domain adaptive segmentation endeavors to generate the high-quality pseudo labels for target domain and retrain the segmentor on them. Under this self-training…
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
Feifei Shao, Yawei Luo, Ping Liu +4
The expensive annotation cost is notoriously known as the main constraint for the development of the point cloud semantic segmentation technique. Active learning methods endeavor t…