desaixie/carve3d
Code for Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
This project helps researchers working with 3D content generation from diffusion models to improve the consistency of multi-view reconstructions. It refines existing models that take textual descriptions or multiple 2D images and produce coherent 3D object representations. The primary users are researchers and developers focused on advanced 3D content creation and computer vision.
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Use this if you are a researcher or developer aiming to enhance the quality and multi-view consistency of 3D reconstructions generated by diffusion models, particularly for academic benchmarking or advanced research.
Not ideal if you are an end-user looking for a ready-to-use application for casual 3D object generation or someone without a strong background in diffusion models and reinforcement learning.
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Python
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Last pushed
Jun 16, 2024
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