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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

Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training

Fangfu Liu, Diankun Wu, Jiawei Chi +7

Humans perceive and understand real-world spaces through a stream of visual observations. Therefore, the ability to streamingly maintain and update spatial evidence from potentiall…

cs.CV2026

CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance

Hanyang Wang, Yiyang Liu, Jiawei Chi +3

Classifier-Free Guidance (CFG) has emerged as a central approach for enhancing semantic alignment in flow-based diffusion models. In this paper, we explore a unified framework call…

cs.CV2025

LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion

Fangfu Liu, Hao Li, Jiawei Chi +4

Recovering 3D structures with open-vocabulary scene understanding from 2D images is a fundamental but daunting task. Recent developments have achieved this by performing per-scene…

cs.CV2025

VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step

Hanyang Wang, Fangfu Liu, Jiawei Chi +1

Recovering 3D scenes from sparse views is a challenging task due to its inherent ill-posed problem. Conventional methods have developed specialized solutions (e.g., geometry regula…