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Guiding a Diffusion Transformer with the Internal Dynamics of Itself (IG)
Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"
A comprehensive JAX/NNX library for diffusion and flow matching generative algorithms, featuring DiT (Diffusion Transformer) and its variants as the primary backbone with support for ImageNet train…
Code for "Scaling Language-Free Visual Representation Learning" paper (Web-SSL).
Code for MetaMorph Multimodal Understanding and Generation via Instruction Tuning
[CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Karras et al. (2022) diffusion models for PyTorch
[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and …
Meaningful titles for tabs and PDF downloads! Also supports tab search.
Taming Transformers for High-Resolution Image Synthesis
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Collection of advice for prospective and current PhD students
An open-source tool-augmented conversational language model from Fudan University
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Covert ANTLR4 book source code to Python3 version.