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third-eye-models

PyTorch
third-eye
image-restoration
video-restoration
super-resolution
denoise
deblur
colorization
frame-interpolation
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metadata 
license: cc-by-nc-sa-4.0
tags:
  - third-eye
  - image-restoration
  - video-restoration
  - super-resolution
  - denoise
  - deblur
  - colorization
  - frame-interpolation
library_name: pytorch

Third Eye - Model Weights Bundle

Reliable mirror of AI model weights used by Third Eye, a media organizer with hidden editing dimensions.

These weights are downloaded automatically by scripts/fetch_models.py during installation. Self-hosting them here removes dependency on upstream Google Drive links and unreliable community mirrors.

License

The bundle is tagged CC BY-NC-SA 4.0 — the most restrictive license among the included models. By using these weights you agree to:

  • Non-commercial use only
  • Provide attribution to the original authors (listed below)
  • Distribute any derivatives under the same license

Files and Attribution

Every weight in this repo is a verbatim copy of the file released by its original author. Original sources and licenses below.

Denoise / Deblur (NAFNet)

  • NAFNet-SIDD-width64.pth — denoise model
  • NAFNet-REDS-width64.pth — deblur model

Authors: Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun (Megvii Research) Upstream: https://github.com/megvii-research/NAFNet License: MIT Paper: "Simple Baselines for Image Restoration" (ECCV 2022)

Frame Interpolation (RIFE)

  • flownet.pkl — RIFE 4.6 weights

Authors: Zhewei Huang et al. (Practical-RIFE team) Upstream: https://github.com/hzwer/Practical-RIFE License: MIT (code) / non-commercial (weights, per author note) Paper: "Real-Time Intermediate Flow Estimation for Video Frame Interpolation"

Community Upscale Models

  • 4x-UltraSharp.pth — community upscale model by Kim2091
  • foolhardy_Remacri.pth — community model by foolhardy
  • RealisticRescaler_100000_G.pth — community upscale model
  • 4x-UniScale-Balanced [72000g].pth — UniScale community variant
  • 4x-UniScale-Strong [42400g].pth — UniScale community variant

Upstream catalog: https://openmodeldb.info/ License: CC BY-NC-SA 4.0 (community convention for ESRGAN-derived models)

Architecture is RRDBNet from Real-ESRGAN. Original Real-ESRGAN architecture:

Usage

Download programmatically via the Third Eye installer:

install.bat

Or directly:

wget https://huggingface.co/Jacid23/third-eye-models/resolve/main/NAFNet-SIDD-width64.pth

Source Code

Third Eye source: https://github.com/Jacid23/Third_Eye

Model download script: scripts/fetch_models.py

Acknowledgements

All credit for the models goes to their original authors and research teams. This repository exists only to provide reliable download mirrors for an open-source application that integrates these models. No modifications have been made to any weight file.