vislearn / conditional_INNs

Related projects ⓘ

Alternatives and complementary repositories for conditional_INNs

• YangNaruto / latent-energy-transport
  ☆50Updated 3 years ago
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆69Updated last year
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆84Updated 4 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆50Updated 2 years ago
• yolu1055 / conditional-glow
  Conditional-Glow for Structured Prediction
  ☆26Updated last year
• XuezheMax / wolf
  Invertible Generative Flows
  ☆81Updated 3 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆42Updated 5 months ago
• shirleyzhu233 / realNVP
  PyTorch implementation of realNVP
  ☆83Updated 2 months ago
• CACTuS-AI / GlowIP
  Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"
  ☆21Updated 4 years ago
• MoeinSorkhei / glow2
  Full-Glow: Fully conditional Glow for more realistic image generation
  ☆26Updated 3 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆79Updated 3 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆59Updated 5 years ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆79Updated last year
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆143Updated 11 months ago
• ChristophReich1996 / Mode_Collapse
  Mode collapse example of GANs in 2D (PyTorch).
  ☆41Updated last year
• ioangatop / srVAE
  VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
  ☆77Updated 4 years ago
• ChristophReich1996 / Dirac-GAN
  PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].
  ☆18Updated 3 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆104Updated 5 years ago
• benjs / DCTransformer-PyTorch
  Unofficial PyTorch implementation of the paper "Generating images with sparse representations"
  ☆36Updated 3 years ago
• sun-umn / Early_Stopping_for_DIP
  Official Implementation of Early Stopping for Deep Image Prior (TMLR)
  ☆24Updated 5 months ago
• haolsun / dual-glow
  [ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
  ☆16Updated last year
• ermongroup / alignflow
  ☆32Updated 4 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆85Updated 6 years ago
• j-min / PixelCNN
  PyTorch implementation of PixelCNN from "Pixel Recurrent Neural Networks"
  ☆39Updated 3 years ago
• koshian2 / swd-pytorch
  Sliced Wasserstein Distance (SWD) in PyTorch
  ☆109Updated 5 years ago
• ajiljalal / code-cs-fairness
  ☆19Updated last year
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆40Updated 4 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆35Updated 4 years ago
• chail / gan-ensembling
  Invert and perturb GAN images for test-time ensembling
  ☆97Updated 3 years ago