activity
20232026
most citedOccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

5 citations · 7 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

HarnessEval-W: Agentifying the Evaluation of Visual Worlds

Weiliang Chen, Haowen Sun, Jun Gao +40

A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justifies the score. This is especially critical for world models, w…

cs.CV2026

Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning

Hanyang Wang, Yimo Cai, Weiliang Chen +14

Physical understanding and reasoning depend on forming compact and generalizable representations of the world. While modern vision-language models can recognize and explain diverse…

cs.CV2026

TivTok: Broadcasting Time-Invariant Tokens for Scalable Video Tokenization

Weiliang Chen, Yuanhui Huang, Xuebo Wang +1

Video tokenization is fundamental to scalable video generation, as the number of tokens directly determines the computational cost and the length of videos that can be modeled. Exi…

cs.CV2026

Measuring 3D Spatial Geometric Consistency in Dynamic Video Generation

Weijia Dou, Wenzhao Zheng, Weiliang Chen +3

Recent generative models can produce high-fidelity videos, yet they often exhibit 3D spatial geometric inconsistencies. Existing evaluation methods fail to accurately characterize…

cs.CV2026

Moaw: Unleashing Motion Awareness for Video Diffusion Models

Tianqi Zhang, Ziyi Wang, Wenzhao Zheng +5

Video diffusion models, trained on large-scale datasets, naturally capture correspondences of shared features across frames. Recent works have exploited this property for tasks suc…