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base-quantization icon base-quantization

base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc

dasr icon dasr

Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"

dd3d_official icon dd3d_official

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

dists icon dists

IQA: Deep Image Structure and Texture Similarity Metric

esrganplus icon esrganplus

ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise Injection in Super-Resolution GANs

first-order-model icon first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

isp icon isp

Image Signal Processor

manet icon manet

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

mmediting icon mmediting

MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.

netron icon netron

Visualizer for neural network, deep learning, and machine learning models

paddledetection_yoloseries icon paddledetection_yoloseries

🚀🚀🚀 YOLO Series of PaddleDetection implementation, PPYOLOE, YOLOX, YOLOv7, YOLOv5, MT-YOLOv6 and so on. 🚀🚀🚀

pix2pixhd icon pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

vulkan icon vulkan

Examples and demos for the new Vulkan API

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