ML Group @ RUC

Diffusion-LLM-Papers

A Collection of Papers on Diffusion Language Models

EGSDE

Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)

FlexWorld

Official PyTorch implementation for "FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis".

LLaDA

Official PyTorch implementation for "Large Language Diffusion Models"

LLaDA-1.5

LLaDA-V

MicroDreamer

Official implementation of "MicroDreamer: Zero-shot 3D Generation in ~20 Seconds by Score-based Iterative Reconstruction".

Scaling-Diffusion-Transformers-muP

Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".

SDE-Drag

Official PyTorch implementation for ICLR2024 paper "The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing"

SMDM

Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models on Text"

ML-GSAI/LLaDA

Official PyTorch implementation for "Large Language Diffusion Models"

ML-GSAI/SMDM

Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models on Text"

ML-GSAI/EGSDE

Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)

ML-GSAI/LLaDA-V

ML-GSAI/Diffusion-LLM-Papers

A Collection of Papers on Diffusion Language Models

ML-GSAI/MicroDreamer

Official implementation of "MicroDreamer: Zero-shot 3D Generation in ~20 Seconds by Score-based Iterative Reconstruction".

ML-GSAI/FlexWorld

Official PyTorch implementation for "FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis".

ML-GSAI/SDE-Drag

Official PyTorch implementation for ICLR2024 paper "The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing"

ML-GSAI/DPT

Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"

ML-GSAI/Scaling-Diffusion-Transformers-muP

Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".

ML-GSAI/RADD

Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR 2025)

ML-GSAI/Concat-ID

Concat-ID: Towards Universal Identity-Preserving Video Synthesis

ML-GSAI/LLaDA-1.5

ML-GSAI/BFN-Solver

Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"

ML-GSAI/Understanding-GDA

Towards understanding modern generative data augmentation techniques.

ML-GSAI/eMIGM

Official PyTorch implementation for "Effective and Efficient Masked Image Generation Models"

ML-GSAI/Revisiting-Dis-vs-Gen-Classifiers

Official implementation for "Revisiting Discriminative vs. Generative Classifiers: Theory and Implications".

ML-GSAI/BigModelPapers

A collection of some large model papers.

ML-GSAI/DPT-demo

ML-GSAI/MesaOpt-AR-Transformer

Official implementation for NeurIPS 2024 paper "On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability".

ML-GSAI/Multi-Source-GM

Official PyTorch implementation for "A Theory for Conditional Generative Modeling on Multiple Data Sources"

ML-GSAI/LLaDA-demo

Project page for paper "large language diffusion models"

ML-GSAI/PoseCrafter-demo

ML-GSAI/Reg-ADA

Reg-ADA - Official PyTorch implementation of DEEP GENERATIVE MODELING ON LIMITED DATA WITH REGULARIZATION BY NONTRANSFERABLE PRE-TRAINED MODELS, ICLR 2023.

ML-GSAI/Reg-ADA-APA

Reg-ADA-APA - Official PyTorch implementation

ML-GSAI/SDE-Drag-demo

ML-GSAI/Concat-ID-demo

ML-GSAI/LLaDA-1.5-Demo

The Demo page of LLaDA 1.5.

ML-GSAI/LLaDA-V-demo