locuslab / ImpSq
Implicit^2: Implicit model for implicit neural representations
☆28Updated 3 years ago
Alternatives and similar repositories for ImpSq:
Users that are interested in ImpSq are comparing it to the libraries listed below
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆94Updated 4 years ago
- ☆78Updated 4 years ago
- ☆16Updated 3 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆35Updated 3 years ago
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆68Updated 2 years ago
- ☆12Updated last year
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- ☆60Updated 2 years ago
- [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…☆53Updated 2 years ago
- ☆70Updated 2 years ago
- Source code of "A structured dictionary perspective on implicit neural representations"☆58Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆47Updated 4 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆68Updated 2 years ago
- An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》☆66Updated 4 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Official JAX implementation of neural isometries - taming transformations for equivariant ML☆35Updated 8 months ago
- [ECCV 2022] The official experimental code of "Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives"☆31Updated 2 years ago
- A quick test of SIREN on out-of-sample tasks☆13Updated 4 years ago
- Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].☆26Updated 11 months ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆35Updated 3 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 3 years ago
- ☆89Updated last year
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆44Updated 3 months ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- ☆16Updated 2 years ago
- PyTorch implementation of the Hessian-free optimizer☆34Updated 10 months ago
- Polynomial Neural Fields for Subband Decomposition and Manipulation☆57Updated last year