junshutang/Make-It-3D
[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
This project helps 3D artists, game developers, or e-commerce businesses create detailed 3D models of objects using just one photograph. You provide a single image of an object, and the tool generates a complete, high-fidelity 3D model that you can view from all angles. It's designed for anyone who needs to transform 2D images into realistic 3D assets.
1,886 stars. No commits in the last 6 months.
Use this if you need to quickly generate a high-quality 3D model of a single object from a single photograph.
Not ideal if your input image contains multiple complex objects or if you need to reconstruct intricate, highly detailed scenes rather than individual objects.
Stars
1,886
Forks
134
Language
Python
License
—
Category
Last pushed
Jul 05, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/junshutang/Make-It-3D"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
anchen1011/toflow
TOFlow: Video Enhancement with Task-Oriented Flow
NVlabs/nvdiffrec
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and...
RuojinCai/doppelgangers
Doppelgangers: Learning to Disambiguate Images of Similar Structures
cvg/GlueStick
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
microsoft/SpareNet
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)