Make-It-3D VS SegmentAnythingin3D

Compare Make-It-3D vs SegmentAnythingin3D 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)
3d-generation 3d-vision Computer Vision Deep Learning diffusion-models generative-art nerf
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SegmentAnythingin3D

Segment Anything in 3D with NeRFs (NeurIPS 2023) (by Jumpat)
3D 3d-segmentation Computer Vision nerf segment-anything Segmentation
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Make-It-3D SegmentAnythingin3D
1 1
1,693 797
- -
6.9 6.3
7 months ago 27 days 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.
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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.

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.

SegmentAnythingin3D

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

What are some alternatives?

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

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

nerfstudio - A collaboration friendly studio for NeRFs

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

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

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

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

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

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

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)

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

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)

Make-It-3D vs DreamCraft3D SegmentAnythingin3D vs nerfstudio Make-It-3D vs NeuralRecon SegmentAnythingin3D vs sam-hq Make-It-3D vs learning-topology-synthetic-data SegmentAnythingin3D vs autodistill Make-It-3D vs AvatarPoser SegmentAnythingin3D vs segment-geospatial Make-It-3D vs unsupervised-depth-completion-visual-inertial-odometry SegmentAnythingin3D vs sam-clip Make-It-3D vs AvatarCLIP Make-It-3D vs sjc