LongE2V: Diffusion Models for Event-Based Video
The LongE2V framework has been introduced, utilizing video diffusion models to reconstruct and predict frames based on event sensor streams. It addresses the issues of instability and texture…
Read the full articleYou might also wanna read
BIFE: A New Framework for Stable Minute-Long Video Generation Using Semantic Sparse KV Cache and Block Forcing
Long video generation is a critical step toward building realistic world models, requiring both high visual fidelity and long-range interact
arxiv.org·23d ago
Image Diffusion Models Enable Zero-Shot Video Object Tracking Through Temporal Propagation
Image diffusion models, though originally developed for image generation, implicitly capture rich semantic structures that enable various re
arxiv.org·7mo ago
STARFlow-V: Normalizing Flow-Based Video Generation Model with End-to-End Learning
Normalizing flows (NFs) are end-to-end likelihood-based generative models for continuous data, and have recently regained attention with enc
Stable Video Diffusion Review — Stability AI's Foundational I2V Model: SVD, SVD-XT, and the Birth of Open-Source Image-to-Video
Stable Video Diffusion (SVD) by Stability AI was the first widely accessible open-source image-to-video model, released November 2023. Built
TurboDiffusion: Video Diffusion Model Acceleration Framework Achieves 100-200x Speedup
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models - thu-ml/TurboDiffusion
github.com·6mo ago
Out-of-Distribution Detection with Diffusion Models
New research proposes a novel framework for out-of-distribution detection using diffusion models, emphasizing feature and concept discrepanc
Comments
Sign in to join the conversation.
No comments yet. Be the first.