instruct-nerf2nerf VS SegmentAnythingin3D

Compare instruct-nerf2nerf vs SegmentAnythingin3D and see what are their differences.

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instruct-nerf2nerf SegmentAnythingin3D
2 1
752 806
- -
7.2 6.3
3 months ago about 1 month ago
Python Python
MIT License 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.

instruct-nerf2nerf

Posts with mentions or reviews of instruct-nerf2nerf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

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 instruct-nerf2nerf and SegmentAnythingin3D you can also consider the following projects:

text2cinemagraph - Text2Cinemagraph: Text-Guided Synthesis of Eulerian Cinemagraphs [SIGGRAPH ASIA 2023]

Make-It-3D - [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

nerfstudio - A collaboration friendly studio for NeRFs

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

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

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

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