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Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning?

Paper recorded by Signals 4 on 2026-10-13 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-13 on arXiv · recorded by Signals 4 on 2026-10-14

Category: cs.CV · 计算机视觉 · first seen 2026-10-14

Abstract

Visual reasoning is an important capability for vision-language models (VLMs) to understand visual evidence, spatial structure, constraints, and state changes. Existing evaluations mainly rely on real-world data or procedurally generated tasks. Real-world data preserve natural complexity, while procedural games provide controllable generation and verifiable solutions. However, it remains unclear w

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#286 most recent of 756 cs.CV papers we have recorded · ↑ newer: Plan-Bench: Can Existing VLMs Go Well Beyond Perception to Reason and · ↓ older: WorldOracle: Benchmarking Action-Conditioned World Models against Real
Cite this page: Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning?: the #286 most recent of 756 cs.CV papers we have recorded (as of 2026-10-13). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/game2real-bench-do-toy-games-reveal-and-transfer-to-real-world-visual-reasoning.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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