Few-step distillation improves the efficiency of autoregressive (AR) video generation, but often causes diversity collapse: under the same prompt, different noise samples tend to produce highly similar videos with weakened motion dynamics. We analyze this degradation in Distribution Matching Distillation (DMD)-distille...
Zi-Xuan Duan, Xun-Zhi Xiang, Yabo Chen et al.· 0 citations
World Action Models (WAMs) augment robot action generation with future visual supervision. Existing WAMs commonly fuse main and wrist observations into one visual stream and train both with the same future-video objective, despite their different visual dynamics. A stable main camera reveals scene-level task evolution,...
Jie Wu, Yu-Zhi Huang, Jun-Qi Liu et al.· 0 citations
TourPhysics combines deterministic simulation with video generation while assigning separate roles to simulator state, geometric evidence, generator controls, and appearance memory, an online framework initialized from a single image and a declarative physical configuration.
Xin Zhang, Yabo Chen, Zi-Xuan Duan et al.· 2 citations
This work presents the VOR Dataset (VORD), the first benchmark dataset providing both paired edited videos and graffiti masks, and introduces VOR-MDSM, the first perception-driven VLM-based scoring model specifically designed for mask-guided VOR.
Hao-Nan Huang, Tian-Rui Qiu, Xiang-Hao Zang et al.· 0 citations
Experimental results show that GenTrans supports effective video transmission under ultra-low-bitrate and weak-network conditions, achieving improved transmission efficiency, decoding efficiency, and robustness while preserving perceptual quality.
Xiangyu Chen, Ji-Xiang Luo, Yuan-Kai Fan et al.· arXiv.org· 2 citations
This paper proposes a unified framework named CineWeaver to achieve reference-controllable multi-shot long-video generation without retraining, and is the first unified framework to simultaneously enable long-form, reference-controllable, and multi-shot video generation in a training-free fashion.
Yuyang Huang, Yabo Chen, Wen-Rui Dai et al.· arXiv.org· 4 citations
WNM-3D, a generative World Navigation Model with 3D scene conditioning for continuous VLN, is presented, showing that WNM-3D outperforms strong VLM-based navigation policies and its 2D-conditioned counterpart in closed-loop navigation.
Yue-Hao Huang, Yunzi Wu, Xiaotao Zhang et al.· 1 citation
This work proposes a two-stage adaptive token pruning strategy specifically designed for video processing that improves accuracy by +7\% on a video captioning benchmark at 10% token retention, while reducing computation TFLOPs by 95\%.
Paribesh Regmi, Qingshuang Chen, Chi Zhang et al.· 1 citation
RefVideo-6M, a large-scale reference-guided editing dataset containing 5 million video editing samples and 1 million image editing samples, is introduced and enables the training of powerful editing models with improved visual quality, controllability, and reference consistency.
Bojia Zi, Xiaoyan Yang, Yu Zhou et al.· 0 citations
This work proposes "Directing the World", a fast autoregressive framework for controllable world-model video generation with compositional human-motion and camera-trajectory control, and introduces a Fast-Slow Memory training strategy to stabilize long-horizon rollout learning and improve convergence.
Recent advances in video diffusion models have greatly improved visual fidelity, yet their generated motions often violate physical plausibility. We observe a common kinematic failure,"motion entanglement", the unintended coupling of independent motion sources, such as camera movement and object motion. We identify tha...
