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cs.CV2026

RIGen: Beyond Action Following with Reciprocal Interaction in Generative Gameplay

Mengfei Li, Yi Zhang, Xingtong Ge +8

Generative gameplay requires more than immediate responses to player actions.Actions should have persistent consequences, while the generated world should act according to its own…

cs.MM2026

Omni-LiveAvatar: Minute-Level Real-Time Streaming Joint Audio-Video Avatar Generation

Lunjie Zhu, Xingtong Ge, Fangyu Lin +7

Joint audio-video generative models serve as foundation for immersive and interactive digital-human generation. Nevertheless, most existing models rely on bidirectional attention a…

cs.CV2026

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation

Xingtong Ge, Yi Zhang, Yushi Huang +6

Distilling video generation models to extremely low inference budgets (e.g., 2--4 NFEs) is crucial for real-time deployment, yet remains challenging. Trajectory-style consistency d…

cs.CV2026

Improving Joint Audio-Video Generation with Cross-Modal Context Learning

Bingqi Ma, Linlong Lang, Ming Zhang +5

The dual-stream transformer architecture-based joint audio-video generation method has become the dominant paradigm in current research. By incorporating pre-trained video diffusio…

cs.CV2026

AR-CoPO: Align Autoregressive Video Generation with Contrastive Policy Optimization

Dailan He, Guanlin Feng, Xingtong Ge +5

Streaming autoregressive (AR) video generators combined with few-step distillation achieve low-latency, high-quality synthesis, yet remain difficult to align via reinforcement lear…