nv-tlabs/GEN3C

Health v2 · maintenance only

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Adoption not part of the score

1409 stars · 80 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GEN3C is NVIDIA's research codebase for a generative video model that achieves precise camera control and temporal 3D consistency using a 3D point-cloud cache. It supports video generation from single images, sparse-view images, or dynamic videos with user-specified camera trajectories.

Use cases

• generate video with precise camera control from a single image
• novel view synthesis from sparse-view images
• extend monocular dynamic video with new camera trajectories
• create temporally consistent video without objects popping in and out
• render dolly zoom and cinematic camera effects on generated video
• video-to-video generation with multi-view inference

When to choose

• you need 3D-consistent video generation with exact camera pose control
• you want state-of-the-art sparse-view novel view synthesis
• you are doing research on world-consistent video diffusion models

When to avoid

• you need a production-ready turnkey video generation product
• you lack a GPU or cannot run diffusion model inference
• you need simple text-to-video without camera control

Facets

library · maturity active

video-processing machine-learning deep-learning computer-vision graphics computer-vision deep-learning graphics artificial-intelligence python video-diffusion camera-control novel-view-synthesis 3d-cache world-model research-code cvpr-2025 gpu linux

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