jw9730 / setvae
[CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
☆74Updated 2 years ago
Alternatives and similar repositories for setvae:
Users that are interested in setvae are comparing it to the libraries listed below
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆148Updated last year
- PyTorch implementation of SoftFlow☆58Updated 4 years ago
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆67Updated 2 years ago
- Learning Gradient Fields for Shape Generation☆191Updated 3 years ago
- (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder☆40Updated 2 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- ☆61Updated 2 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆89Updated 4 years ago
- ☆78Updated 3 years ago
- An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》☆66Updated 4 years ago
- Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)☆29Updated 2 years ago
- DeepSphere: a graph-based spherical CNN (TensorFlow)☆15Updated 4 years ago
- [NeurIPS'21] Learning 3D Dense Correspondence via Canonical Point Autoencoder☆20Updated 3 years ago
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆139Updated 4 years ago
- Improved diffusion generative models with subspaces☆133Updated 2 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆33Updated 4 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- ☆155Updated 7 months ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆68Updated 2 years ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆46Updated 4 years ago
- ☆88Updated last year
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch☆119Updated 4 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆54Updated 2 years ago
- (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning☆26Updated 3 years ago
- A Transformer made of Rotation-equivariant Attention using Vector Neurons☆88Updated last year
- Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"☆12Updated 3 years ago
- [ICLR 2019] ]Unsupervised Discovery of Parts, Structure, and Dynamics☆46Updated 2 years ago