nv-tlabs/Difix3D

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1266 stars · 107 forks observed · 2026-08-28

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

Difix3D+ is a research codebase from NVIDIA implementing a single-step diffusion model pipeline that removes artifacts from NeRF and 3D Gaussian Splatting reconstructions. It provides a diffusers-compatible inference pipeline plus training scripts for the Difix image enhancement model.

Use cases

• remove artifacts from NeRF renders
• improve 3D Gaussian Splatting reconstruction quality
• enhance novel view synthesis with diffusion models
• clean up underconstrained regions in 3D reconstructions
• run single-step image diffusion inference with diffusers
• train a custom artifact-removal diffusion model

When to choose

• you need to fix artifacts in NeRF or 3DGS renders from extreme viewpoints
• you want a fast single-step diffusion enhancer integrated with Hugging Face diffusers
• you are doing research on diffusion-based 3D reconstruction enhancement

When to avoid

• you need a general-purpose image restoration tool unrelated to 3D reconstruction
• you lack a CUDA GPU
• you need a production-ready product with support rather than research code
• you need a permissively licensed library for commercial embedding without reviewing the custom license

Facets

library · maturity active

image-processing machine-learning deep-learning computer-vision computer-vision graphics artificial-intelligence deep-learning python diffusion-models gaussian-splatting nerf 3d-reconstruction novel-view-synthesis cvpr-2025 nvidia image-restoration gpu linux

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