masa-ue / SVDD-imageLinks
Derivative-Free, Training-Free, Guidance in Diffusion Models
☆13Updated 8 months ago
Alternatives and similar repositories for SVDD-image
Users that are interested in SVDD-image are comparing it to the libraries listed below
Sorting:
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆36Updated 3 weeks ago
- Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"☆22Updated last month
- Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023☆30Updated last year
- Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling".☆31Updated 3 months ago
- ☆31Updated 11 months ago
- Educational implementation of the Discrete Flow Matching paper☆92Updated 10 months ago
- ☆24Updated last year
- Official Implementation of Nabla-GFlowNet (ICLR 2025)☆20Updated last month
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆22Updated 11 months ago
- Code release for "Stochastic Optimal Control Matching"☆35Updated 10 months ago
- Inference-Time Alignment in Protein Diffusion Models☆40Updated 5 months ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆43Updated 6 months ago
- ☆52Updated 9 months ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆32Updated 8 months ago
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆33Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆70Updated last year
- ☆34Updated 2 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆40Updated last year
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆67Updated 2 months ago
- NeurIPS23 "Flow Factorized Representation Learning"☆36Updated 8 months ago
- Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR…☆49Updated 3 weeks ago
- Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper☆29Updated last year
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆15Updated last year
- Official Jax Implementation of MD4 Masked Diffusion Models☆106Updated 3 months ago
- PyTorch implementation for our paper "Improving GFlowNets for Text-to-Image Diffusion Alignment."☆27Updated 9 months ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆53Updated last year
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆61Updated 2 years ago
- A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).☆26Updated last year