Code for Motion Representations for Articulated Animation paper
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Updated
Oct 7, 2022 - Jupyter Notebook
Code for Motion Representations for Articulated Animation paper
Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
A system of bots that collects clips automatically via custom made filters, lets you easily browse these clips, and puts them together into a compilation video ready to be uploaded straight to any social media platform. Full VPS support is provided, along with an accounts system so multiple users can use the bot at once. This bot is split up int…
GitHub repository for "Improving Video Generation for Multi-functional Applications"
Stochastic Adversarial Video Prediction
[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
[ICLR 2021 Spotlight] A Good Image Generator Is What You Need for High-Resolution Video Synthesis
[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
Video Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)
Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech
Official PyTorch implementation of Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks (ICLR 2022).
ICface: Interpretable and Controllable Face Reenactment Using GANs
Code for our CVPR 2019 work.
[CVPR 2022] Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
Official PyTorch implementation of TATS: A Long Video Generation Framework with Time-Agnostic VQGAN and Time-Sensitive Transformer (ECCV 2022)
Official repository for the paper "DeepLandscape: Adversarial Modeling of Landscape Videos" (ECCV2020)
Implementation of NWT, audio-to-video generation, in Pytorch
Implementation of "Generating Videos with Scene Dynamics" in Tensorflow
Implementation of the video diffusion model and training scheme presented in the paper, Flexible Diffusion Modeling of Long Videos, in Pytorch
Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch
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