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RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
Contour-Guided Diffusion Models for Unpaired Image-to-Image Translation
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
Vision Transformers for Single Image Dehazing
NVIDIA's Deep Imagination Team's PyTorch Library
Denoising Diffusion Probabilistic Models
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
PyTorch implementations of Generative Adversarial Networks.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Image-to-Image Translation in PyTorch
End-to-End Object Detection with Transformers
🔥🔥🔥 专注于YOLO11,YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
TingquanGao / PaddleClas
Forked from PaddlePaddle/PaddleClasA treasure chest for image classification powered by PaddlePaddle
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
oculus m750d forward looking sonar with ros neotic
forward looking sonar object recognition with yolov5 based on ros humble for self use