EmilienDupont / neural-function-distributions
Pytorch implementation of Generative Models as Distributions of Functions πΏ
β149Updated last year
Alternatives and similar repositories for neural-function-distributions
Users that are interested in neural-function-distributions are comparing it to the libraries listed below
Sorting:
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)β90Updated 4 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusionβ197Updated last year
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"β51Updated 2 years ago
- [CVPR 2021] Adversarial Generation of Continuous Imagesβ233Updated 3 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlightβ¦β56Updated 2 years ago
- Improved diffusion generative models with subspacesβ133Updated 2 years ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorchβ74Updated 2 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"β80Updated 2 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flowsβ59Updated 3 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this modelβ74Updated 2 years ago
- Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)β208Updated 4 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.β125Updated 3 years ago
- An unofficial pytorch implementation of γFourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainsγβ66Updated 4 years ago
- Mode collapse example of GANs in 2D (PyTorch).β46Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)β146Updated 3 years ago
- Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"β194Updated 2 years ago
- The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)β362Updated 3 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)β118Updated last year
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paperβ104Updated 3 years ago
- GENIE: Higher-Order Denoising Diffusion Solversβ95Updated last year
- Official Code for ICLR2021 paper "A Geometric Analysis of Deep Generative Image Models and Its Applications"β48Updated 3 months ago
- Pytorch implementation of COIN++ πβ71Updated 2 years ago
- A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.β73Updated 3 years ago
- Implementation of Ο-GAN, for 3d-aware image synthesis, in Pytorchβ119Updated 4 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)β148Updated 5 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021β45Updated 3 years ago
- PyTorch implementation of realNVPβ86Updated 8 months ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"β86Updated 3 years ago
- β50Updated 4 years ago
- β156Updated 9 months ago