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cs.CV2026

CrossPortrait: Cross-Species Portrait Animation via Adversarial Motion Alignment

Gezhong Pan, Zhe Li, Yunfan Tao +7

Cross-species portrait animation, which aims to animate a source portrait of species A using a driving video of species B, is particularly challenging due to substantial anatomical…

cs.CV2026

Enhancing Video Physical Consistency via Role-aware Joint Training and Modality-decoupled Denoising

Guangting Zheng, Haojing Chen, Hao Li +6

While modern video diffusion models excel in visual fidelity, maintaining long-range physical consistency remains a formidable challenge. Conventional pixel-reconstruction objectiv…

cs.CV2026

SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation

Shanwen Tan, Hao Li, Jingtao Zhang +4

Streaming long-video generation faces a central challenge in continuous semantic switching, requiring adaptive memory to preserve coherent visual evolution. Current approaches rely…

cs.CV2026

ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance Mask

Zhuoran Yang, Yanyong Zhang

Autonomous driving relies on robust models trained on large-scale, high-quality multi-view driving videos. Although world models provide a cost-effective solution for generating re…

cs.CV2026

InstaDrive: Instance-Aware Driving World Models for Realistic and Consistent Video Generation

Zhuoran Yang, Xi Guo, Chenjing Ding +3

Autonomous driving relies on robust models trained on high-quality, large-scale multi-view driving videos. While world models offer a cost-effective solution for generating realist…