Home Projects NOVA
NOVA
Python

NOVA

[ICLR 2025] Autoregressive Video Generation without Vector Quantization

by baaivision · GitHub
Stars
Forks
License
Created
Last commit
Language
autoregressive-modelsdiffusion-modelsimage-generationApache-2.0Python
View on GitHub
In plain words

Create videos by predicting frames efficiently without using vector quantization.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
NOVA — GitHub preview card
📈 Star history
656655
2026-07-202026-08-31
📈 Track NOVA

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

[ICLR 2025] Autoregressive Video Generation without Vector Quantization

NOVA has 655 stars on GitHub. It has been forked 23 times. NOVA is written mainly in Python. It has been in active development since 2024. NOVA is available under the Apache-2.0 license. Its main topics are autoregressive-models, diffusion-models, image-generation, video-generation.

Frequently asked questions

What is NOVA?

[ICLR 2025] Autoregressive Video Generation without Vector Quantization

Is NOVA open source?

NOVA is an open-source project. It is released under the Apache-2.0 license.

Is NOVA free?

Yes. NOVA is free and open source — you can use, modify and self-host it.

What license does NOVA use?

NOVA is available under the Apache-2.0 license.

What language is NOVA written in?

NOVA is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — NOVA

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=baaivision-nova)](https://olud.ai/project/baaivision-nova.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →
MimicMotion
High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
2.6k · diffusion-models
sharesvideo-generationdiffusion-models
PVDM
[CVPR'23] Video Probabilistic Diffusion Models in Projected Latent Space
322 · diffusion-models
sharesvideo-generationdiffusion-models
Pyramid-Flow
[ICLR 2025] Pyramidal Flow Matching for Efficient Video Generative Modeling
3.2k · diffusion-models
sharesvideo-generationdiffusion-models
HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
12.3k · diffusion-models
sharesvideo-generationdiffusion-models
MAGI-1
MAGI-1: Autoregressive Video Generation at Scale
3.7k · autoregressive
sharesvideo-generationdiffusion-models
ControlVideo
[ICLR 2024] Official pytorch implementation of "ControlVideo: Training-free Controllable Text-t…
863 · diffusion-models
sharesvideo-generationdiffusion-models
fantasy-portrait
FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusi…
512 · diffusion-models
sharesvideo-generationdiffusion-models
ChronoEdit
[ICLR 2026] ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation
697 · aigc
sharesvideo-generationimage-generation
videocomposer
Official repo for VideoComposer: Compositional Video Synthesis with Motion Controllability
958 · diffusion-models
sharesvideo-generationdiffusion-models
FireRed-Image-Edit
FireRed-Image-Edit is a powerful image editing foundation model achieving open-source state-of-…
1.3k · aigc
sharesimage-generationdiffusion-models

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.