9 papers · 1 filter
Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics
Tianshuo Xu, Zhifei Chen, Leyi Wu +2
The ultimate goal of video generation is to satisfy a fundamental trilemma: achieving high visual quality, maintaining rigorous physical consistency, and enabling precise controlla…
STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding
Zhifei Chen, Tianshuo Xu, Leyi Wu +6
Video generation has recently made striking visual progress, but maintaining coherent object motion and interactions remains difficult. We trace two practical bottlenecks: (i) huma…
UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy
Tianshuo Xu, Kai Wang, Zhifei Chen +4
Computational replication of Chinese calligraphy remains challenging. Existing methods falter, either creating high-quality isolated characters while ignoring page-level aesthetics…
4D Driving Scene Generation With Stereo Forcing
Hao Lu, Zhuang Ma, Guangfeng Jiang +6
Current generative models struggle to synthesize dynamic 4D driving scenes that simultaneously support temporal extrapolation and spatial novel view synthesis (NVS) without per-sce…
SDPose: Exploiting Diffusion Priors for Out-of-Domain and Robust Pose Estimation
Shuang Liang, Jing He, Chuanmeizhi Wang +4
Pre-trained diffusion models provide rich latent features across U-Net levels and are emerging as powerful vision backbones. While prior works such as Marigold and Lotus repurpose…
DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
Hao Lu, Tianshuo Xu, Wenzhao Zheng +6
Photorealistic 4D reconstruction of street scenes is essential for developing real-world simulators in autonomous driving. However, most existing methods perform this task offline…