4 papers
M4V: Multimodal Mamba for Efficient Text-to-Video Generation
Jiancheng Huang, Gengwei Zhang, Zequn Jie +5
Text-to-video generation has significantly enriched content creation and holds the potential to evolve into powerful world simulators. However, modeling the vast spatiotemporal spa…
Seedance 2.0: Advancing Video Generation for World Complexity
Team Seedance, De Chen, Liyang Chen +168
Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…
ViGoR-Bench: How Far Are Visual Generative Models From Zero-Shot Visual Reasoners?
Haonan Han, Jiancheng Huang, Xiaopeng Sun +7
Beneath the stunning visual fidelity of modern AIGC models lies a "logical desert", where systems fail tasks that require physical, causal, or complex spatial reasoning. Current ev…
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction
Siyu Jiao, Gengwei Zhang, Yinlong Qian +6
This work challenges the residual prediction paradigm in visual autoregressive modeling and presents FlexVAR, a new Flexible Visual AutoRegressive image generation paradigm. FlexVA…