faverogian / simpleDiffusionLinks
An implementation of 'simple diffusion: End-to-end diffusion for high resolution images' as published by Hoogeboom et al.
☆37Updated 10 months ago
Alternatives and similar repositories for simpleDiffusion
Users that are interested in simpleDiffusion are comparing it to the libraries listed below
Sorting:
- The official implementation of "[MASK] is All You Need"☆125Updated 4 months ago
- Image Neural Field Diffusion Models, CVPR 2024 (Highlight)☆77Updated last year
- ☆115Updated 4 months ago
- ☆21Updated last year
- [ICML 2025] Official code for the paper 'DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space'☆72Updated 4 months ago
- [CVPR 2024] Exploiting Diffusion Prior for Generalizable Dense Prediction☆80Updated last year
- Scalable Diffusion Models with State Space Backbone☆155Updated last year
- Official Implementation (Pytorch) of "DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Represe…☆28Updated last year
- [ICCV2025]LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models☆66Updated 3 months ago
- [ECCV2024] "SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow", Yuanzhi Zhu, Xingchao Liu, Qiang Liu☆56Updated last year
- (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves☆97Updated 4 months ago
- Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)☆57Updated last year
- [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation☆58Updated 5 months ago
- Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022☆158Updated 3 years ago
- [CVPR24] CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation☆99Updated last year
- The official implementation of DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis☆228Updated last year
- Official PyTorch Implementation of "Diffusion Autoencoders are Scalable Image Tokenizers"☆160Updated 10 months ago
- Official PyTorch Implementation of "Latent Denoising Makes Good Visual Tokenizers"☆164Updated 2 months ago
- [CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention☆175Updated 9 months ago
- [Preprint] UCGM: Unified Continuous Generative Models☆170Updated 6 months ago
- [CVPR 2025 Oral] Alias-free Latent Diffusion Models (official implementation)☆102Updated last week
- Official PyTorch implementation of "Generalized Consistency Trajectory Models for Image Manipulation"☆43Updated last year
- [CVPR 2025] Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment☆88Updated 6 months ago
- Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"☆88Updated 8 months ago
- Frequency Autoregressive Image Generation with Continuous Tokens☆93Updated 6 months ago
- Towards training VQ-VAE models robustly!☆89Updated 5 months ago
- [ECCV 2024, Oral] FMBoost: Boosting Latent Diffusion with Flow Matching☆254Updated 2 months ago
- Official PyTorch Implementation for Diffusion Hyperfeatures, NeurIPS 2023☆110Updated last year
- Official PyTorch implementation of FlowMo.☆103Updated 8 months ago
- Exploring Representation-Aligned Latent Space for Better Generation☆17Updated 10 months ago