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Dec, 2023
Carve3D:基于强化学习微调的扩散模型多视图重建一致性的改进
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
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Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu...
TL;DR
Carve3D是一种RL finetuning方法,结合了Multi-view Reconstruction Consistency指标,用于改进多视角扩散模型的一致性并提升NeRF重建质量。
Abstract
Recent advancements in the
text-to-3d
task leverage finetuned text-to-image diffusion models to generate multi-view images, followed by
nerf reconstruction
. Yet, existing supervised finetuned (SFT) diffusion mode
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