FutureXiang / ddaeLinks
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
☆181Updated last year
Alternatives and similar repositories for ddae
Users that are interested in ddae are comparing it to the libraries listed below
Sorting:
- ☆98Updated last year
- Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"☆96Updated last year
- Idempotent Generative Network's unofficial pytorch implementation☆46Updated last year
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆95Updated last year
- Pytorch implementation of TDPM☆35Updated 2 years ago
- ☆96Updated 2 years ago
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- ☆137Updated last year
- Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training☆473Updated last year
- A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)☆338Updated 7 months ago
- 🔥stable, simple, state-of-the-art VQVAE toolkit & cookbook☆100Updated last year
- High-performance Image Tokenizers for VAR and AR☆291Updated 5 months ago
- The official implementation of DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis☆214Updated last year
- ☆97Updated last year
- Code for the paper "Do text-free diffusion models learn discriminative visual representations?"☆28Updated last year
- ☆45Updated 2 years ago
- Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)☆579Updated last year
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆118Updated last year
- classifier guidance rescale for class-conditional image generation☆45Updated 2 years ago
- A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis☆569Updated 2 years ago
- Minimal multi-gpu implementation of Diffusion Models with Classifier-Free Guidance (CFG)☆61Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆31Updated last year
- Official repository for "SODA: Bottleneck Diffusion Models for Representation Learning"☆27Updated last year
- a simple unofficial implementation of classifier-free diffusion guidance☆207Updated 2 years ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆88Updated last year
- Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"☆92Updated 2 years ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆76Updated last year
- [NeurIPS 2024] The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"☆220Updated last year
- ☆235Updated last year