ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

High-performance Image Tokenizers for VAR and AR

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

This is the official implementation for ControlVAR.

Few-Shot Diffusion Models

Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'

CVPR 2025 Workshop on CVEU.

[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

Official PyTorch implementation of "Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis" (ICML 2024).

[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation

Forward-backward conditional sampling

Code for the paper "FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery", published on SDM 2022.

Controllable Sequence Editing for Counterfactual Generation

[ICLR 2022] Toy Experiments for Denoising Likelihood Score Matching for Conditional Score-based Data Generation

[NeurIPS 2024] Supporting code for the paper 'Diffusion Twigs with Loop Guidance for Conditional Graph Generation'.

A partial pytorch implementation of "Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models" for practice

DDPM (Denoising Diffusion Probabilistic Models) and DDIM (Denoising Diffusion Implicit Models) for conditional image generation

Chinese couplet generation with transformer and simple transformer-based variants.

Metadata-conditional diffusion model for flexible time-series generation. Model + Analysis