Alternatives and similar repositories for d2c

Users that are interested in d2c are comparing it to the libraries listed below

• jychoi118 / P2-weighting
  CVPR 2022
  ☆152Updated last year
• ericl122333 / PatchDiffusion-Pytorch
  Code for the Paper "Improving Diffusion Model Efficiency Through Patching"
  ☆114Updated last year
• ChenWu98 / unified-generative-zoo
  [ICCV 2023] https://arxiv.org/abs/2210.05559
  ☆122Updated 2 years ago
• vvvm23 / vqvae-2
  PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"
  ☆165Updated 2 years ago
• Kim-Dongjun / Soft-Truncation
  A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"
  ☆50Updated 3 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆91Updated 5 years ago
• samb-t / unleashing-transformers
  Code for the ECCV 2022 paper "Unleashing Transformers"
  ☆185Updated 2 years ago
• fudan-zvg / PDS
  [ECCV 2022 & IJCV 2025] Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
  ☆61Updated 8 months ago
• Michedev / DDPMs-Pytorch
  Implementation of various DDPM papers to understand how they work
  ☆89Updated 8 months ago
• baofff / Analytic-DPM
  Code for the paper Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022 Outsta…
  ☆175Updated 3 years ago
• UCSB-NLP-Chang / DiffusionDisentanglement
  Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
  ☆175Updated 2 years ago
• alsdudrla10 / DG
  Official repo for Discriminator Guidance.
  ☆166Updated 10 months ago
• baofff / Extended-Analytic-DPM
  Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…
  ☆110Updated 3 years ago
• xrenaa / DisCo
  [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
  ☆137Updated 3 years ago
• kpandey008 / DiffuseVAE
  Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
  ☆378Updated 3 years ago
• JiauZhang / binary-latent-diffusion
  Implementation of Binary Latent Diffusion
  ☆51Updated 2 years ago
• qsh-zh / deis
  [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator
  ☆160Updated 2 years ago
• zhifengkong / FastDPM_pytorch
  Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
  ☆83Updated 4 years ago
• ThomasMrY / DisDiff
  [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
  ☆71Updated 2 years ago
• L-YeZhu / CDCD
  [ICLR2023] Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation (CDCD).
  ☆162Updated 2 years ago
• kynkaat / improved-precision-and-recall-metric
  Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation
  ☆180Updated 2 months ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆135Updated 3 years ago
• teodorToshkov / ViTGAN-pytorch
  A PyTorch implementation of VITGAN: Training GANs with Vision Transformers
  ☆57Updated 4 years ago
• rosinality / denoising-diffusion-pytorch
  Implementation of Denoising Diffusion Probabilistic Models in PyTorch
  ☆392Updated 3 years ago
• luping-liu / PNDM
  The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (PNDM, PLMS | ICLR2022)
  ☆346Updated 2 years ago
• tqch / v-diffusion-torch
  PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance
  ☆34Updated last year
• nv-tlabs / GENIE
  GENIE: Higher-Order Denoising Diffusion Solvers
  ☆96Updated 2 years ago
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆49Updated 3 years ago
• mlpc-ucsd / ViTGAN
  ☆58Updated 3 years ago
• kobeshegu / FreGAN_NeurIPS2022
  [NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
  ☆57Updated 3 years ago