Signals 4 · free daily AI digest

Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation

Paper recorded by Signals 4 on 2026-10-21 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.CV · 计算机视觉 · first seen 2026-10-22

Abstract

Autoregressive video diffusion models generate videos chunk by chunk, yet producing plausible continuations does not guarantee that they capture how scenes evolve. Under teacher forcing, strong temporal redundancy may allow local visual continuity to serve as a shortcut for current-chunk denoising, reducing the pressure to model visual evolution. We introduce Future Chunk Prediction (FCP), an auxi

Read on arXiv →

#199 most recent of 756 cs.CV papers we have recorded · ↑ newer: DONIC: Generalist Dexterous Bimanual Tracking Control from Human Demon · ↓ older: Training-free Acceleration for Blind Compressed Image Restoration via
Cite this page: Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation: the #199 most recent of 756 cs.CV papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/looking-ahead-modeling-future-evolution-in-autoregressive-video-generation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CV papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions