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

High-performance Image Tokenizers for VAR and AR

Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.

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'

Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"

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".

Controllable Face Generation via pretrained Conditional Adversarial Latent Autoencoder (ALAE)

Text-driven human motion generation surveys, datasets and models.

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

TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation

A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.

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

Forward-backward conditional sampling

Controllable Sequence Editing for Counterfactual Generation

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