collaborators

11 papers

cs.CV2026

LogiShot: Logically Coherent Cross-Shot Video Generation

Shuai Guo, Yuhang Yang, Zeyu Zhang +4

Generating cross-shot videos that are logically connected is essential for content creation. Currently, most cross-shot video-generation workflows, such as short-drama production,…

cs.CV2026

VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction

Weijie Wang, Yeqing Chen, Zeyu Zhang +9

Feed-forward 3D Gaussian Splatting (3DGS) has emerged as a highly effective solution for novel view synthesis. Existing methods predominantly rely on a \emph{pixel-aligned} Gaussia…

cs.CV2026

WorldOlympiad: Can Your World Model Survive a Triathlon?

Yuke Zhao, Wangbo Zhao, Weijie Wang +8

We introduce WorldOlympiad, a benchmark for diagnosing video-based world models across physical faithfulness, geometric consistency, and interaction fidelity. While existing benchm…

cs.CV2026

Latent Spatial Memory for Video World Models

Weijie Wang, Haoyu Zhao, Yifan Yang +7

Video world models that maintain 3D spatial consistency across generated frames typically rely on explicit point cloud memory constructed in RGB space. This design is both computat…

cs.CV2026

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation

Weijie Wang, Xiaoxuan He, Youping Gu +9

Recent video foundation models demonstrate impressive visual synthesis but frequently suffer from geometric inconsistencies. While existing methods attempt to inject 3D priors via…

cs.CV2026

DriveGen3D: Boosting Feed-Forward Driving Scene Generation with Efficient Video Diffusion

Weijie Wang, Jiagang Zhu, Zeyu Zhang +14

We present DriveGen3D, a novel framework for generating high-quality and highly controllable dynamic 3D driving scenes that addresses critical limitations in existing methodologies…