stable-dreamfusion VS point-e

Compare stable-dreamfusion vs point-e and see what are their differences.

stable-dreamfusion

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion. (by ashawkey)

point-e

Point cloud diffusion for 3D model synthesis (by openai)
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stable-dreamfusion point-e
41 33
7,813 6,304
- 0.8%
7.2 0.0
5 months ago 6 months ago
Python Python
Apache License 2.0 MIT License
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.

stable-dreamfusion

Posts with mentions or reviews of stable-dreamfusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-31.

point-e

Posts with mentions or reviews of point-e. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-28.

What are some alternatives?

When comparing stable-dreamfusion and point-e you can also consider the following projects:

instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more

stable-diffusion-webui-depthmap-script - High Resolution Depth Maps for Stable Diffusion WebUI

dreamgaussian - Generative Gaussian Splatting for Efficient 3D Content Creation

magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch

zero123plus - Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

fill - Generative fill in 3D.

ComfyUI_Noise - 6 nodes for ComfyUI that allows for more control and flexibility over noise to do e.g. variations or "un-sampling"

smoothvoxels

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GET3D

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