Maclory/SPSR
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)
This project helps researchers and engineers improve the clarity and detail of low-resolution images by generating a high-resolution version that preserves key structural features. You feed in low-resolution images, and it produces enhanced, super-resolved images that look more realistic and retain important visual structures. It's designed for computer vision scientists, imaging specialists, and anyone working with visual data that needs resolution enhancement.
453 stars. No commits in the last 6 months.
Use this if you need to upscale images while ensuring fine details and overall structure are accurately maintained, especially for tasks where visual fidelity is critical.
Not ideal if you're not comfortable with Python, PyTorch, and managing deep learning environments, as this is a research-focused implementation requiring technical setup.
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453
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82
Language
Python
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Last pushed
Oct 12, 2021
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