[ICCV 2023] The official implementation of paper "HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation"

[ICLR 2025] BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities

PyTorch - CHIMLE, an IMLE-based general-purpose multimodal conditional image synthesis method [NeurIPS 2022]

A list of research papers on knowledge-enhanced multimodal learning

Official implementation of the NeurIPS'21 paper 'Conditional Generation Using Polynomial Expansions'.

Flow matching implementation for the CIFAR10 dataset.

Train vision transformer model to generate image from most informative patches to least informative.

CLIP ViT–conditioned image generation with Neural Cellular Automata, using CuPy GPU rollouts and optional Flowers102 training.

This repository contains the source code associated with the paper titled "Implementation of a conditional latent diffusion-based generative model to synthetically create unlabeled histopathological images".

Data Generation Framework for Conditional Image Synthesis