# NVlabs/few-shot-vid2vid

Pytorch implementation for few-shot photorealistic video-to-video translation.

Repository: https://github.com/NVlabs/few-shot-vid2vid
Canonical: https://ross.abutalabs.com/products/few-shot-vid2vid
Language: Python
License: NOASSERTION
License Family: other
Last push: 2021-10-27T20:38:38+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2504, "days_push": 1771, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1798, forks 274 (observed 2026-08-28T04:05:37.772444+00:00)

## What it is
A PyTorch implementation of few-shot photorealistic video-to-video translation from NVIDIA Research (NeurIPS 2019), generating realistic videos from poses, edge maps, or semantic label maps. The repository is deprecated in favor of the NVlabs/imaginaire repo.

## Use cases
- generate human motion videos from pose sequences
- synthesize talking head videos from edge maps
- turn semantic segmentation label maps into photorealistic videos
- reproduce few-shot vid2vid research results
- train video-to-video translation models on custom datasets

## When to choose
- you need the original reference implementation of the NeurIPS 2019 few-shot vid2vid paper
- you are doing academic research on video-to-video synthesis
- you want to study the model architecture before porting it

## When to avoid
- you want maintained code or new features - use NVlabs/imaginaire instead
- you need a permissive license for commercial use - it is restricted to academic research
- you lack an NVIDIA GPU with CUDA
- you need production-ready video synthesis tooling

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, image-processing, video-processing
- domain: computer-vision, deep-learning, machine-learning
- platform: python
- tags: pytorch, video-to-video-translation, gan, few-shot-learning, research-code, deprecated, nvidia, pose-to-video, face-synthesis, video, linux, macos, gpu

## Member repositories
- NVlabs/few-shot-vid2vid (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:37.772444+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:22:19.294857+00:00, confidence not recorded.
  - readme: https://github.com/NVlabs/few-shot-vid2vid (fetched 2026-08-28T04:05:37.772444+00:00, sha ff6b0e716ce8)
- Data as of 2026-08-30T08:39:29.467469+00:00.