✨Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling
📝 Summary:
Upsample Anything is a novel test-time optimization framework that enhances low-resolution features to high-resolution outputs without training. It learns an anisotropic Gaussian kernel per image, acting as a universal edge-aware operator. This method achieves state-of-the-art results in tasks li...
🔹 Publication Date: Published on Nov 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.16301
• PDF: https://arxiv.org/pdf/2511.16301
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#Upsampling #ComputerVision #ImageProcessing #DeepLearning #AI
📝 Summary:
Upsample Anything is a novel test-time optimization framework that enhances low-resolution features to high-resolution outputs without training. It learns an anisotropic Gaussian kernel per image, acting as a universal edge-aware operator. This method achieves state-of-the-art results in tasks li...
🔹 Publication Date: Published on Nov 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.16301
• PDF: https://arxiv.org/pdf/2511.16301
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#Upsampling #ComputerVision #ImageProcessing #DeepLearning #AI