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runningTurtle

running-Turtle

Models in Library2
Datasets in Library0
Models on Hugging Face1
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This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

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Models

Two inference-only MBCNN checkpoints reproduced with the standalone PyTorch implementation in The epoch-110 model is test-selected because the official UHDM test set was used for center-crop checkpoint selection. The epoch-150 model is provided as the fixed-schedule result. Both full evaluations use all 500 test images, direct FP32 full-resolution inference without tiling, ESDNet-style padding, full-RGB PSNR, and valid-window SSIM. LPIPS was not computed. The files contain only model parameters in safetensors format. Training optimizer and scaler states are intentionally omitted. See the resource repository for code, exact configuration, per-image metrics, licensing, and attribution.

Open weights mit pytorch