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S2PD: Serial-to-Parallel Diffusion for Physically and Logically Consistent Video Generation

Paper recorded by Signals 4 on 2026-10-05 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-05 on arXiv · recorded by Signals 4 on 2026-10-06

Category: cs.CV · 计算机视觉 · first seen 2026-10-06

Abstract

Bidirectional video diffusion models denoise entire videos in parallel, yet when trained on effectively unlimited in-distribution data from procedural generators, continue to violate physical laws and simple symbolic rules. We introduce Serial-to-Parallel Diffusion (S2PD), which performs autoregressive diffusion at high noise before switching to parallel diffusion at low noise. The autoregressive

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#352 most recent of 756 cs.CV papers we have recorded · ↑ newer: InterMimicGen: Scaling Humanoid Loco-Manipulation through Self-Evolvin · ↓ older: Anatomy-aware Fine-grained Multimodal Fusion for Laryngopharyngeal Can
Cite this page: S2PD: Serial-to-Parallel Diffusion for Physically and Logically Consistent Video Generation: the #352 most recent of 756 cs.CV papers we have recorded (as of 2026-10-05). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/s2pd-serial-to-parallel-diffusion-for-physically-and-logically-consistent-video-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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