ayaanzhaque/instruct-nerf2nerf

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions (ICCV 2023)

44
/ 100
Emerging

Leverages InstructPix2Pix diffusion models to iteratively edit pre-trained NeRF scenes via natural language prompts, optimizing the 3D representation with LPIPS and L1 losses in a Nerfstudio pipeline. Supports multi-GPU inference by isolating the diffusion model on separate devices, with memory-optimized variants (half-precision, no LPIPS) for constrained hardware. Integrates tightly with Nerfstudio's training infrastructure and provides configurable guidance scales to balance instruction adherence against image fidelity.

850 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 18 / 25

How are scores calculated?

Stars

850

Forks

79

Language

Python

License

MIT

Last pushed

Feb 12, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/ayaanzhaque/instruct-nerf2nerf"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.