instruct-pix2pix VS nerfbusters

Compare instruct-pix2pix vs nerfbusters and see what are their differences.

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instruct-pix2pix nerfbusters
21 2
5,989 202
- -
0.0 6.1
3 months ago 5 months ago
Python Jupyter Notebook
GNU General Public License v3.0 or later 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.

instruct-pix2pix

Posts with mentions or reviews of instruct-pix2pix. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-21.

nerfbusters

Posts with mentions or reviews of nerfbusters. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-10.

What are some alternatives?

When comparing instruct-pix2pix and nerfbusters you can also consider the following projects:

stable-diffusion-webui - Stable Diffusion web UI

ms-nerf - Multi-Space Neural Radiance Fields(CVPR 2023)

stable-diffusion-webui-instruct-pix2pix - Extension for webui to run instruct-pix2pix

prolificdreamer - Official code of ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

MixNeRF - [CVPR2023] MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs

gif2gif - Automatic1111 Animated Image (input/output) Extension

lerf - Code for LERF: Language Embedded Radiance Fields

k-diffusion - Karras et al. (2022) diffusion models for PyTorch

f2-nerf - Fast neural radiance field training with free camera trajectories

Sin3DGen