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
We present DistScene, a framework for single-image compositional 3D scene generation by jointly modeling the environment and individual objects. Unlike existing methods that represent scenes primarily as collections of objects, we model the environment as an explicit scene component to provide geometric context for obj...
Kun-Ming Luo, Hong-Yu Yan, Ken Deng 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
Robust navigation in cluttered environments remains a fundamental challenge for quadrotors, particularly when strong wind disturbances arise, which perturb vehicle dynamics, limit control authority, and substantially increase collision risk. Existing learning-based navigation policies typically rely on obstacle percept...
Zhonghan Tang, Chenhui Li, Shuai Liang et al.· IEEE Robotics and Automation...· 0 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
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
An A2I model, AudioCanvas, fine-tuned on the A2I-Set is proposed, a unified, high-quality tri-modal dataset specifically designed for audio-visual research, including audio-conditioned image generation.
Dongxu Ge, Shansong Liu, Cheng Gong et al.· 0 citations
This work proposes a co-evolution roadmap for physical intelligence centered on theembodied brain, a long-term model target for integrating multimodal context, comparing candidate interventions, and issuing state-transition or capability requests rather than direct actuator commands.
Yuanzhi Liang, Xufeng Zhan, Haibin Huang et al.· 1 citation
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...
