CVPR 2026-Guiding a Diffusion Transformer with the Internal Dynamics of Itself (IG)

DiP: Taming Diffusion Models in Pixel Space

🚀🚀 「大模型」2小时完全从0训练64M的小参数GPT！🌏 Train a 64M-parameter GPT from scratch in just 2h!

[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Generative Models by Stability AI

Development repository for the Triton language and compiler

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

A Collection of Variational Autoencoders (VAE) in PyTorch.

[CVPR 2022] Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Code for SplitNet paper

Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoencoder/

View synthesis for the public.

Is a geometric model required to synthesize novel views from a single image?

《神经网络与深度学习》案例与实践

✔（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】