isl-org/unifi3d
[TMLR 2025] Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
This project offers a unified framework for evaluating and comparing different 3D representations used in generative AI. It takes various 3D data formats like point clouds or SDFs and helps researchers understand which representation performs best for both generating new 3D models and accurately reconstructing existing ones. Scientists and engineers working on advanced 3D content creation would find this useful for benchmarking novel techniques.
Use this if you are a researcher or engineer who needs to benchmark and understand the trade-offs between different 3D data representations for generative tasks like creating new 3D models or reconstructing shapes.
Not ideal if you are looking for an off-the-shelf application to simply generate 3D models without needing to delve into the underlying representation performance.
Stars
41
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/isl-org/unifi3d"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ZiYang-xie/WorldGen
🌍 WorldGen - Generate Any 3D Scene in Seconds
aioz-ai/AIOZ-GDANCE
AIOZ-GDANCE: a large-scale dataset & baseline for music-driven group dance generation. (CVPR 2023)
worldbench/WorldLens
[CVPR 2026] WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World
Kobaayyy/Awesome-CVPR2026-CVPR2025-ICCV2025-CVPR2024-ECCV2024-AIGC
A Collection of Papers and Codes for CVPR2026/CVPR2025/ICCV2025/CVPR2024/ECCV2024 AIGC
nv-tlabs/XCube
[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies