222 citations · 226 across the 19 of their papers we have counts for
9 papers · 1 filter
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,…
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…
Taming Flow-based I2V Models for Creative Video Editing
Xianghao Kong, Hansheng Chen, Yuwei Guo +4
Although image editing techniques have advanced significantly, video editing, which aims to manipulate videos according to user intent, remains an emerging challenge. Most existing…
CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration
Zheng Wei, Hongtao Wu, Lvmin Zhang +6
Effective communication between directors and cinematographers is fundamental in film production, yet traditional approaches relying on visual references and hand-drawn storyboards…
Mixture of Contexts for Long Video Generation
Shengqu Cai, Ceyuan Yang, Lvmin Zhang +10
Long video generation is fundamentally a long context memory problem: models must retain and retrieve salient events across a long range without collapsing or drifting. However, sc…
Captain Cinema: Towards Short Movie Generation
Junfei Xiao, Ceyuan Yang, Lvmin Zhang +7
We present Captain Cinema, a generation framework for short movie generation. Given a detailed textual description of a movie storyline, our approach firstly generates a sequence o…
Radial Attention: Sparse Attention with Energy Decay for Long Video Generation
Xingyang Li, Muyang Li, Tianle Cai +11
Recent advances in diffusion models have enabled high-quality video generation, but the additional temporal dimension significantly increases computational costs, making training a…
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…
Instance Segmentation of Scene Sketches Using Natural Image Priors
Mia Tang, Yael Vinker, Chuan Yan +2
Sketch segmentation involves grouping pixels within a sketch that belong to the same object or instance. It serves as a valuable tool for sketch editing tasks, such as moving, scal…