jeremiastraub / diffusion
Representation Learning with Diffusion Models
☆31Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for diffusion
- Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022☆15Updated last year
- An official implementation of CVPR 2023 "Self-Guided Diffusion Models"☆23Updated last year
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆45Updated 5 months ago
- The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.☆54Updated 2 years ago
- ☆31Updated 7 months ago
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆23Updated 7 months ago
- [NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"☆72Updated last year
- Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.☆29Updated 4 months ago
- Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"☆77Updated 8 months ago
- PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.☆39Updated last month
- NeurIPS23 "Flow Factorized Representation Learning"☆33Updated 3 weeks ago
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆25Updated 3 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆48Updated last year
- This repo contains the implementation of VQGAN, Taming Transformers for High-Resolution Image Synthesis in PyTorch from scratch. I have a…☆20Updated 3 months ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆48Updated last year
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆68Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆83Updated last year
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆41Updated 9 months ago
- Visualising High Dimensional Data using tSNE☆48Updated 7 years ago
- Denoising Masked Autoencoders Help Robust Classification.☆60Updated last year
- ☆37Updated last year
- Code for the Paper "Improving Diffusion Model Efficiency Through Patching"☆111Updated 8 months ago
- Visualizing representations with diffusion based conditional generative model.☆84Updated last year
- [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'☆22Updated 6 months ago
- ☆42Updated last year
- ☆11Updated last year
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆17Updated 2 years ago
- ☆38Updated last year
- An official implementation of Cl-InfoNCE☆14Updated 2 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆122Updated 2 years ago