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GeoFlip: Benchmarking Geometry-Sensitive Physics in Video Generation

Paper recorded by Signals 4 on 2026-10-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02

Category: cs.CV · 计算机视觉 · first seen 2026-11-02

Abstract

Video generation models synthesize realistic motion, but can they respond correctly to changes in initial geometry? We introduce GeoFlip, a video generation benchmark centered on physical outcome flips induced by geometry. With shared physical settings and textual prompts held fixed, GeoFlip applies controlled interventions to support extent, object placement, and mechanism configuration, construc

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#41 most recent of 710 cs.CV papers we have recorded · ↑ newer: Any Forcing: Any-Step Generality and One-Step Stability for Autoregres · ↓ older: MoETok: Sparse Expert Routing for 1D Visual Tokenizers
Cite this page: GeoFlip: Benchmarking Geometry-Sensitive Physics in Video Generation: the #41 most recent of 710 cs.CV papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/geoflip-benchmarking-geometry-sensitive-physics-in-video-generation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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