ML-GSAI / BFN-Solver

Related projects: ⓘ

• ML-GSAI / RADD
  Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data"
  ☆11Updated last week
• LabForComputationalVision / memorization_generalization_in_diffusion_models
  ☆30Updated 3 months ago
• sangyun884 / rfpp
  The codebase of our paper "Improving the Training of Rectified Flows"
  ☆65Updated 2 months ago
• PangzeCheung / Discrete-Probability-Flow
  [NeurIPS 2023] Formulating Discrete Probability Flow Through Optimal Transport
  ☆19Updated 8 months ago
• zkx06111 / ReDiffusion
  ☆12Updated last year
• sail-sg / FDM
  The official PyTorch implementation of Fast Diffusion Model
  ☆91Updated last year
• ML-GSAI / Revisiting-Dis-vs-Gen-Classifiers
  Official implementation for "Revisiting Discriminative vs. Generative Classifiers: Theory and Implications".
  ☆15Updated last year
• DaShenZi721 / HRA
  ☆14Updated 2 months ago
• gcorso / particle-guidance
  Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
  ☆64Updated 10 months ago
• UW-Madison-Lee-Lab / SFT-PG
  Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023
  ☆24Updated 11 months ago
• thudzj / Calibrated-DPMs
  Official code for "On Calibrating Diffusion Probabilistic Models"
  ☆29Updated last year
• ljh0v0 / D3PM-Pytorch
  Unofficial PyTorch implementation of Discrete Denoising Diffusion Probabilistic Model(D3PM)
  ☆29Updated last year
• baofff / Extended-Analytic-DPM
  Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…
  ☆102Updated 2 years ago
• Guohanzhong / GMS
  ☆17Updated 4 months ago
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆47Updated 9 months ago
• thu-ml / i-DODE
  Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)
  ☆14Updated 5 months ago
• KellyYutongHe / mpgd_pytorch
  The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)
  ☆16Updated 5 months ago
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆38Updated 6 months ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆76Updated 3 months ago
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆52Updated 2 years ago
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆30Updated 5 months ago
• checkcrab / SDSB
  ☆48Updated this week
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆47Updated 10 months ago
• yuanzhi-zhu / mini_edm
  Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist
  ☆34Updated 9 months ago
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆36Updated 5 months ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆59Updated 3 months ago
• HKUNLP / reparam-discrete-diffusion
  Reparameterized Discrete Diffusion Models for Text Generation
  ☆90Updated last year
• locuslab / get
  Generative Equilibrium Transformer
  ☆17Updated 10 months ago
• weigq / iclr2023_stats
  ICLR2023 statistics
  ☆60Updated 10 months ago
• mingyuanzhou / SiD
  PyTorch code and model checkpoints for Score identity Distillation (SiD) published in ICML 2024
  ☆49Updated 3 months ago