ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
[RA-L 2024] DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
Unconditional Image Generation using a [modifiable] pretrained VQVAE based Latent Diffusion Model, adapted from huggingface diffusers.
Unlock the potential of latent diffusion models with MNIST! 🚀 Dive into reconstructing and generating digits using cutting-edge techniques like Autoencoders with Channel Attention Blocks and DDPMs. Perfect for enthusiasts of computer vision, deep learning, and generative modeling! 🌌✨
A minimal PyTorch script for training an unconditional diffusion model on your own images. Includes safe image loading, mixed precision, and periodic sample generation.
Diffusion Models crash course with Pytorch from DeepLearningAI
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