ECCV 2026 paper finds video reasoning happens in denoising steps, not frames
liuziwei7 · x · 2026-08-28
ECCV 2026 paper "Demystifying Video Reasoning" challenges current assumptions. It shows that reasoning in diffusion video models occurs primarily along diffusion denoising steps, not sequentially across frames (Chain-of-Frames).
Key Findings:
- Chain-of-Steps (CoS): Models explore multiple candidates in early steps and converge to a final answer.
- Working Memory: Supports tasks requiring consistent reference (e.g., object permanence).
- Self-Correction: Allows recovery from incorrect intermediate solutions.
- Perception before Action: Early steps establish semantic grounding; later steps perform structured manipulation.
The authors propose a Training-Free Ensemble (TFE) method to enhance reasoning based on these insights.
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