MobiusLqm/Nabla-R2D3
[NeurIPS 2025 Official Codes] Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
This project helps researchers and developers working with 3D generative AI models to improve the quality and realism of their generated 3D content. By using 2D image-based rewards, it takes your existing 3D diffusion model and outputs a fine-tuned version that better aligns with desired visual qualities like aesthetics or specific object orientations, without needing complex 3D reward signals.
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Use this if you are a researcher or engineer fine-tuning 3D generative diffusion models and want to enhance output quality efficiently using readily available 2D feedback.
Not ideal if you are looking for an out-of-the-box application for generating 3D models or if you lack experience with machine learning model training and development environments.
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Language
Python
License
MIT
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Last pushed
Sep 23, 2025
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