SegmentAnythingin3D VS Make-It-3D

Compare SegmentAnythingin3D vs Make-It-3D and see what are their differences.

Make-It-3D

[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior (by junshutang)
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SegmentAnythingin3D Make-It-3D
1 1
806 1,694
- -
6.3 6.9
about 1 month ago 7 months ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SegmentAnythingin3D

Posts with mentions or reviews of SegmentAnythingin3D. We have used some of these posts to build our list of alternatives and similar projects.

Make-It-3D

Posts with mentions or reviews of Make-It-3D. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SegmentAnythingin3D and Make-It-3D you can also consider the following projects:

nerfstudio - A collaboration friendly studio for NeRFs

DreamCraft3D - [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

sam-hq - Segment Anything in High Quality [NeurIPS 2023]

NeuralRecon - Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

autodistill - Images to inference with no labeling (use foundation models to train supervised models).

learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

segment-geospatial - A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

AvatarPoser - Official Code for ECCV 2022 paper "AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing"

sam-clip - Use Grounding DINO, Segment Anything, and CLIP to label objects in images.

unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

AvatarCLIP - [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

sjc - Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)