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nicholasLane
/
GRDFNet
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GRDFNet
10.7 kB
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  • 2 contributors
History: 4 commits
nicholasLane
Added dynamic compute_gamma() for scale-aware residual blending. Reworked LWGRBShuffle expand stage for improved non-linear refinement. Propagated bias parameter through upsampler. Updated requirements for inference and training gradio, remove NEOSR and SPANDREL files
a762108 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • DISCLAIMER
    135 Bytes
    release model and provide dependencies 10 months ago
  • GRDFNet.py
    4.37 kB
    Added dynamic compute_gamma() for scale-aware residual blending. Reworked LWGRBShuffle expand stage for improved non-linear refinement. Propagated bias parameter through upsampler. Updated requirements for inference and training gradio, remove NEOSR and SPANDREL files 10 months ago
  • LICENSE
    1.31 kB
    release model and provide dependencies 10 months ago
  • README.md
    1.39 kB
    release model and provide dependencies 10 months ago
  • app.py
    516 Bytes
    release model and provide dependencies 10 months ago
  • requirements.txt
    1.47 kB
    Added dynamic compute_gamma() for scale-aware residual blending. Reworked LWGRBShuffle expand stage for improved non-linear refinement. Propagated bias parameter through upsampler. Updated requirements for inference and training gradio, remove NEOSR and SPANDREL files 10 months ago