Field-scale groundwater pumping estimation using OpenET
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Updated
May 29, 2024 - Python
Field-scale groundwater pumping estimation using OpenET
[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
EfficientViT is a new family of vision models for efficient high-resolution vision.
[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
[TVCG'2023] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)
[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
This is a simple Python script for downloading YouTube videos using pytube library. The script provides two options on the home screen: 1. Download Video 2. See Download History
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Automatic HiRes photo retoucher on SDXL base
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
Modern Graph TensorFlow implementation of Super-Resolution GAN
Linear Radon Transform (Slant stack) and its high-resolution version for dispersion curve estimation
increases image quality with upscale image size
Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
High res Anime images by using the RealESRGAN onnx model. It will upscale 4x the input image by maintaining the original aspect ratio with resize algo.
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