dongzhuoyao / Diffusion-Representation-Learning-Survey-TaxonomyLinks
☆89Updated 8 months ago
Alternatives and similar repositories for Diffusion-Representation-Learning-Survey-Taxonomy
Users that are interested in Diffusion-Representation-Learning-Survey-Taxonomy are comparing it to the libraries listed below
Sorting:
- [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"☆170Updated last year
- Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"☆88Updated last year
- Official repository for "SODA: Bottleneck Diffusion Models for Representation Learning"☆24Updated last year
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆94Updated last year
- 🔥stable, simple, state-of-the-art VQVAE toolkit & cookbook☆94Updated last year
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆114Updated 8 months ago
- ☆218Updated last year
- Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)☆86Updated last year
- Pytorch implementation of TDPM☆34Updated 2 years ago
- PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)☆124Updated 2 months ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆28Updated last year
- High-performance Image Tokenizers for VAR and AR☆273Updated 2 months ago
- Official codebase for "Diffusion Bridge Implicit Models" (ICLR 2025) and "Consistency Diffusion Bridge Models" (NeurIPS 2024)☆67Updated 3 months ago
- LOCO-Edit☆24Updated 8 months ago
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆62Updated last year
- [ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy☆248Updated 6 months ago
- [ICLR2025] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflectio…☆78Updated 4 months ago
- [NeurIPS2024] Official Codes of the Paper "Gradient Guidance for Diffusion Models: An Optimization Perspective"☆16Updated 3 months ago
- Idempotent Generative Network's unofficial pytorch implementation☆45Updated last year
- This is the official implementation for ControlVAR.☆114Updated 6 months ago
- Minimal multi-gpu implementation of Diffusion Models with Classifier-Free Guidance (CFG)☆60Updated last year
- [ICLR2025] Halton Scheduler for Masked Generative Image Transformer☆239Updated last month
- Official Implementation for Diffusion Models Without Classifier-free Guidance☆130Updated 4 months ago
- ☆46Updated last year
- Code for TFG: Unified Training-Free Guidance for Diffusion Models☆59Updated last month
- “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…☆125Updated last month
- InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models☆29Updated 3 months ago
- [CVPR 2025 (Oral)] Open implementation of "RandAR"☆175Updated 3 months ago
- ☆204Updated 3 weeks ago
- Official implementation for 'Class-Balancing Diffusion Models'☆55Updated last year