3 papers
cs.CV2026
TinyHistory: Lightweight Video History Embeddings via Two-Stage Context Learning
Lvmin Zhang, Shengqu Cai, Muyang Li +6
History context is central to autoregressive video generation, driving consistency and storytelling for both commercial models and personal use cases. For example, personal users,…
cs.CV2026
StreamDiffusionV2: A Streaming System for Dynamic and Interactive Video Generation
Tianrui Feng, Zhi Li, Shuo Yang +11
Generative models are reshaping the live-streaming industry by redefining how content is created, styled, and delivered. Previous image-based streaming diffusion models have powere…
cs.CV2025
Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
Lvmin Zhang, Shengqu Cai, Muyang Li +2
We present a neural network structure, FramePack, to train next-frame (or next-frame-section) prediction models for video generation. FramePack compresses input frame contexts with…