microsoft / distilled_decodingLinks
[ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
☆20Updated 9 months ago
Alternatives and similar repositories for distilled_decoding
Users that are interested in distilled_decoding are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching☆54Updated 9 months ago
- Official Github Repo for Neurips 2024 Paper Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment☆63Updated 7 months ago
- [ICML 2025 Spotlight] Direct Discriminative Optimization: Reinforcing Diffusion/Autoregressive with GAN Discrimination☆110Updated last week
- official code for Diff-Instruct algorithm for one-step diffusion distillation☆84Updated last year
- [Preprint] GMem: A Modular Approach for Ultra-Efficient Generative Models☆42Updated 10 months ago
- ☆71Updated last year
- ☆50Updated 7 months ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆103Updated last year
- [ICLR 2026] Autoregressive Image Generation with Randomized Parallel Decoding☆85Updated last week
- code for "TVG: A Training-free Transition Video Generation Method with Diffusion Models"☆48Updated last year
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆84Updated last year
- PixNerd: Pixel Neural Field Diffusion☆165Updated last month
- Official implementation for SSDD Single-Step Diffusion Decoder for Efficient Image Tokenization.☆53Updated 2 months ago
- TerDiT: Ternary Diffusion Models with Transformers☆74Updated last year
- Minimal multi-gpu implementation of EDM2: "Analyzing and Improving the Training Dynamics of Diffusion Models"☆40Updated last year
- the official repo for "D-AR: Diffusion via Autoregressive Models"☆132Updated last week
- The official implementation of Distribution Backtracking Distillation for One-step Diffusion Models☆32Updated last year
- Scaling RWKV-Like Architectures for Diffusion Models☆142Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- Official PyTorch Implementation of "Diffusion Autoencoders are Scalable Image Tokenizers"☆164Updated last year
- [NeurIPS 2024] Official PyTorch Implementation of "FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner"☆72Updated 3 months ago
- Score identity Distillation with Long and Short Guidance for One-Step Text-to-Image Generation☆95Updated 2 months ago
- This repository includes the official implementation of our paper "Grouping First, Attending Smartly: Training-Free Acceleration for Diff…☆55Updated 8 months ago
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆60Updated 7 months ago
- Open source implementation and models of One-step Diffusion with Distribution Matching Distillation☆180Updated last year
- Transition Models☆143Updated 4 months ago
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆36Updated 11 months ago
- Codebase for the paper-Elucidating the design space of language models for image generation☆46Updated last year
- [Preprint] UCGM: Unified Continuous Generative Models☆179Updated 8 months ago
- Adapting Self-Supervised Representations as a Latent Space for Efficient Generation☆38Updated 3 months ago