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Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation

Paper recorded by Signals 4 on 2026-09-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-02 on arXiv · recorded by Signals 4 on 2026-09-03

Category: cs.CV · 计算机视觉 · first seen 2026-09-03

Abstract

Recent advancements in unified generative models (UGMs) and world simulators have achieved unprecedented results in visual perception and synthesis. However, these models primarily rely on surface-level event alignment, leaving the capacity for high-level visual reasoning underexplored. True visual generative intelligence demands "Reasoning-to-Generation", an ability to infer latent rules from vis

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#159 most recent of 237 cs.CV papers we have recorded · ↑ newer: SolarWM: Open Data and Scalable Training for Long-Horizon Video World · ↓ older: PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified
Cite this page: Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation: the #159 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/thinking-in-pictures-a-systematic-benchmark-for-reasoning-driven-image-generatio.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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