Image Stitching
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Image Stitching is a process of composing multiple images with narrow but overlapping fields of view to create a larger image with a wider field of view.
Source: Single-Perspective Warps in Natural Image Stitching
( Image credit: Kornia )
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/gzhang8/FractionalOrderRANSAC.jl
공식 코드https://github.com/ika-rwth-aachen/Cam2BEV
공식 코드https://github.com/jzy2017/tris
공식 코드Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
https://github.com/kornia/kornia
공식 코드Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/lhaippp/recdiffusion
공식 코드RecDiffusion: Rectangling for Image Stitching with Diffusion Models
https://github.com/minshu-kim/nis
공식 코드https://github.com/minshu-kim/rewarp
공식 코드Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition
https://github.com/nie-lang/Multi-Grid-Deep-Homography
공식 코드Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
https://github.com/nie-lang/UnsupervisedDeepImageStitching
공식 코드Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
https://github.com/nie-lang/deeprectangling
공식 코드https://github.com/nie-lang/stabstitch
공식 코드Eliminating Warping Shakes for Unsupervised Online Video Stitching
https://github.com/nie-lang/stabstitch2
공식 코드StabStitch++: Unsupervised Online Video Stitching with Spatiotemporal Bidirectional Warps
https://github.com/nie-lang/udis2
공식 코드https://github.com/princeton-computational-imaging/NeuLS
공식 코드Neural Light Spheres for Implicit Image Stitching and View Synthesis
https://github.com/russrobin/obj-gsp
공식 코드Object-level Geometric Structure Preserving for Natural Image Stitching
https://github.com/songsang7/alto
공식 코드Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
https://github.com/tensorflow/tensorflow/blob/v2.4.1/tensorflow/python/keras/applications/mobilenet.py
공식 코드MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/tlliao/lpam_seam-cutting
공식 코드Leveraging Local Patch Alignment to Seam-cutting for Large Parallax Image Stitching
https://github.com/tlliao/multi-homo-warp
공식 코드Parallax-tolerant Image Stitching via Segmentation-guided Multi-homography Warping
https://github.com/wang-ml-lab/multimodal-needle-in-a-haystack
공식 코드https://github.com/yayoyo66/rdistitcher
공식 코드Modification Takes Courage: Seamless Image Stitching via Reference-Driven Inpainting
https://github.com/yayoyo66/srstitcher
공식 코드https://github.com/0xPr0xy/CoreML
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/0xPr0xy/MobileNet-CoreML
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2023-MindSpore-1/ms-code-176
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2023-MindSpore-4/Code12/tree/main/d2l/chapter_06_convolutional-neural-networks
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2023-MindSpore-4/Code12/tree/main/d2l/chapter_07_convolutional-modern
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2023-MindSpore-4/Code9/tree/main/MobileNet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2024-MindSpore-1/Code4/tree/main/MobileNet/mobilenetv1
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/BIG-CHENG/FaceRec
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/BillyGun27/mobilenet_model
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/BingkAI-B21CAP0161/C-Mask-Machine-Learning
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/DCASE-REPO/dcase2019_task2_baseline
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/DT42/BerryNet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Deci-AI/super-gradients
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.