activity
20232026
most citedSEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

12 citations · 23 across the 9 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification

Lisai Zhang, Yidi Wu, Qi Liu +7

Autoregressive continuation provides a natural path toward minute-scale audio-visual generation by repeatedly extending a short-window generator conditioned on previously generated…

cs.CV2026

Vorch-IR: Long-Form Unified Multimodal Identity Replacement Video Generation

Yaole Wang, Xiaoyu Chen, Xin Ma +5

Video identity replacement seeks to transfer the identities of one or more subjects while preserving the motion, expressions, and temporal structure of a driving video. Existing me…

cs.CV2026

Monocular Normal Estimation via Shading Sequence Estimation

Zongrui Li, Xinhua Ma, Minghui Hu +6

Monocular normal estimation aims to estimate the normal map from a single RGB image of an object under arbitrary lights. Existing methods rely on deep models to directly predict no…