Make-It-3D
Make-It-3D is a research-grade software framework published at ICCV 2023 for generating high-fidelity 3D content from a single input image. It addresses the challenge of estimating 3D geometry and hallucinating unseen textures by leveraging prior knowledge from a well-trained 2D diffusion model. The system utilizes a two-stage optimization pipeline: the first stage trains a neural radiance field using constraints from the reference image and diffusion priors for novel views, while the second stage refines the model into textured point clouds to enhance realism and preserve high-quality reference textures. This approach enables faithful 3D reconstructions for general objects with impressive visual quality, significantly outperforming previous methods. Key use cases include text-to-3D creation, texture editing, and generating 360-degree geometry for objects like animals, buildings, and everyday items. The software includes training code for both coarse and refinement stages, test data, and an integration with J