psh01087 / Vid-ODELinks
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
☆63Updated 2 years ago
Alternatives and similar repositories for Vid-ODE
Users that are interested in Vid-ODE are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆151Updated last year
- Official implementation of the paper Stochastic Latent Residual Video Prediction☆76Updated 3 years ago
- The PyTorch implementation of Latent Video Transformer.☆99Updated last year
- Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*☆30Updated 4 years ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆96Updated 4 years ago
- Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022☆157Updated 3 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆103Updated this week
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆68Updated 2 years ago
- An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》☆67Updated 5 years ago
- Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper☆31Updated 2 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆49Updated 5 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- ☆32Updated last year
- Pytorch implementation of COIN++ 🍁☆73Updated 3 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆39Updated last year
- The repository for paper VPTR: Efficient Transformers for Video Prediction☆98Updated 9 months ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆76Updated 3 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- ☆63Updated 2 years ago
- Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.☆22Updated 2 years ago
- Using pre-trained Diffusion models as priors for inference tasks☆208Updated 2 years ago
- Source code of "A structured dictionary perspective on implicit neural representations"☆61Updated 3 years ago
- efficient video representation through neural fields☆49Updated 3 years ago
- Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoenco…☆181Updated 4 years ago
- ☆16Updated 2 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆78Updated 4 years ago
- [ECCV 2022 & IJCV 2025] Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling☆61Updated 7 months ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆78Updated 2 years ago