nv-tlabs/Difix3D
[CVPR 2025 Oral & Best Paper Finalist] Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models
This tool helps improve the quality of 3D reconstructions by removing common visual imperfections or 'degradations' from images used to create 3D models. You input a degraded image and receive a cleaner, enhanced version, which can then be used to build more accurate and visually appealing 3D assets. It's ideal for 3D artists, visual effects specialists, or researchers working with 3D scanning and reconstruction.
1,113 stars. No commits in the last 6 months.
Use this if you have 3D models or reconstructed scenes that suffer from blurriness, noise, or other visual artifacts due to limitations in the initial reconstruction process and you need to enhance their visual quality.
Not ideal if you are looking for a tool to generate 3D models from scratch or if your primary goal is to create highly stylized or artistic images rather than realistic enhancement.
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Python
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Last pushed
Jun 28, 2025
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