NVIDIA/vid2vid
vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
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NVIDIA
NVIDIA • big-tech
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Aug 14, 2018
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README Summary
<img src='imgs/teaser.gif' align="right" width=360> <br><br><br><br> # vid2vid ### [Project](https://tcwang0509.github.io/vid2vid/) | [YouTube(short)](https://youtu.be/5zlcXTCpQqM) | [YouTube(full)](https://youtu.be/GrP_aOSXt5U) | [arXiv](https://arxiv.org/abs/1808.06601) | [Paper(full)](https://tcwang0509.github.io/vid2vid/paper_vid2vid.pdf) Pytorch implementation for high-resolution (e.g., 2048x1024) photorealistic video-to-video translation. It can be used for turning semantic label
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Computer VisionConditional Image GenerationConvolutional Neural NetworksDeep LearningDomain TransferGenerative Adversarial NetworksHigh-Resolution Image GenerationTemporal Consistency ModelingVideo ProcessingVideo Synthesis
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Computer VisionConditional Image GenerationConvolutional Neural NetworksDeep LearningDomain TransferGenerative Adversarial NetworksHigh-Resolution Image GenerationTemporal Consistency ModelingVideo ProcessingVideo SynthesisDockerForkedGPU / CUDAPyTorchPythonResearch / PapersTensorFlowTutorial
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Updated 4 years ago
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Python100.0%
Timeline
- Project created
- Aug 14, 2018
- Forked
- Mar 14, 2026
- Your last push
- 4 years ago
- Upstream last push
- 4 years ago
- Tracked since
- May 17, 2022
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