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cs.CV2026

Principia: Relational Physics Tests for Video Models

Varun Varma Thozhiyoor, Shivam Tripathi, Venkatesh Babu Radhakrishnan +1

Evaluating physical reasoning in video models is difficult because absolute motion measurements depend on frame rate, object scale, and camera calibration, all of which are often a…

cs.CV2026

ViT-5: Vision Transformers for The Mid-2020s

Feng Wang, Sucheng Ren, Tiezheng Zhang +4

This work presents a systematic investigation into modernizing Vision Transformer backbones by leveraging architectural advancements from the past five years. While preserving the…

cs.CV2026

Relighting as a Probe of Visual Priors via Augmented Latent Intrinsics

Xiaoyan Xing, Xiao Zhang, Sezer Karaoglu +2

Image-to-image relighting requires representations that separate illumination from scene properties while preserving dense geometry, material, and photometric cues. We use this tas…

cs.CV2026

Name That Part: 3D Part Segmentation and Naming

Soumava Paul, Prakhar Kaushik, Ankit Vaidya +2

We address semantic 3D part segmentation: decomposing objects into parts with meaningful names. While datasets exist with part annotations, their definitions are inconsistent acros…

cs.CV2025

Objects in Generated Videos Are Slower Than They Appear: Models Suffer Sub-Earth Gravity and Don't Know Galileo's Principle...for now

Varun Varma Thozhiyoor, Shivam Tripathi, Venkatesh Babu Radhakrishnan +1

Video generators are increasingly evaluated as potential world models, which requires them to encode and understand physical laws. We investigate their representation of a fundamen…