psh01087 / Vid-ODELinks
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
β63Updated 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:
- Official implementation of the paper Stochastic Latent Residual Video Predictionβ77Updated 3 years ago
- Pytorch implementation of Generative Models as Distributions of Functions πΏβ150Updated last year
- Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*β30Updated 4 years ago
- The PyTorch implementation of Latent Video Transformer.β99Updated last year
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.β95Updated 4 years ago
- The repository for paper VPTR: Efficient Transformers for Video Predictionβ95Updated 6 months ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.β100Updated last week
- Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paperβ29Updated last year
- β61Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"β37Updated 9 months ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorchβ75Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022β60Updated 3 years ago
- β16Updated 2 years ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainsβ49Updated 5 years ago
- Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022β154Updated 2 years ago
- Code for CVPR 2022 paper "Comparing Correspondences: Video Prediction with Correspondence-wise Losses"β24Updated 3 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropicβ49Updated last year
- Pytorch implementation of COIN++ πβ73Updated 3 years ago
- An unofficial pytorch implementation of γFourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainsγβ66Updated 5 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)β36Updated 4 years ago
- β28Updated last year
- Official implementation of the paper "Unifying GANs and Score-Based Diffusion as Generative Particle Models", NeurIPS 2023β25Updated 7 months ago
- A PyTorch Implementation of Density Estimation Using Real NVPβ74Updated 4 years ago
- efficient video representation through neural fieldsβ49Updated 2 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021β45Updated 3 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"β80Updated 2 years ago
- Using pre-trained Diffusion models as priors for inference tasksβ209Updated 2 years ago
- β158Updated last year
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fieldsβ68Updated 2 years ago
- β103Updated last year