GlassyWing / ogan-torch
An unofficial pytorch implementation for OGAN
☆9Updated 2 years ago
Related projects: ⓘ
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆19Updated last year
- Implementation of "Improved Denoising Diffusion Probabilistic Models" in Pytorch☆39Updated 2 years ago
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆47Updated 9 months ago
- Fred's PhD Thesis Project: VQ VAE 2 Image Compression☆30Updated 4 years ago
- Denoising Diffusion Implicit Models☆27Updated 3 years ago
- Official implementation for Gradient Normalization for Generative Adversarial Networks☆71Updated 2 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆107Updated 4 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆69Updated last year
- Implementation of various DDPM papers to understand how they work☆81Updated 11 months ago
- ☆36Updated last year
- Implementation of Binary Latent Diffusion☆48Updated last year
- PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.☆38Updated 6 months ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆76Updated 3 months ago
- [NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data☆57Updated last year
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆76Updated 8 months ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆78Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆16Updated last year
- Representation Learning with Diffusion Models☆30Updated last year
- Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…☆102Updated 2 years ago
- PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].☆18Updated 3 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆120Updated 2 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆47Updated 10 months ago
- [ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer☆16Updated last year
- Implementation of FA-VAE: Frequancy Augmented VAE☆12Updated last year
- Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)☆74Updated 3 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆25Updated 2 years ago
- Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022☆15Updated last year
- A PyTorch implementation of VITGAN: Training GANs with Vision Transformers☆54Updated 2 years ago
- Code for the Paper "Improving Diffusion Model Efficiency Through Patching"☆111Updated 6 months ago