https://github.com/Lysemo/StructureAwareDCNN
Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
Papers with Code 아카이브
Image Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 8
- 보존된 평가 기록
- 35
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MRSRL/dl-cs
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering
https://github.com/MS-Mind/MS-Code-06/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MariaPdg/fmri-reconstruction
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
https://github.com/MarvinLavechin/imagetranslation-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MasoumehVahedi/Pix2Pix-GAN-model
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Maxencephilbert/In_Silico_Labeling_CBIO_internship
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Image_to_Image_Translation_with_Conditional_Adversarial_Nets
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation
Learning Disentangled Representations via Mutual Information Estimation
https://github.com/Mind23-2/MindCode-5/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Mind23-2/MindCode-61
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MindCode-4/code-5/tree/main/udop
Unifying Vision, Text, and Layout for Universal Document Processing
https://github.com/MindSpore-paper-code-2/code2/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MindSpore-paper-code-3/code3/tree/main/FaceQualityAssessment
https://github.com/MindSpore-paper-code-3/code7/tree/main/FaceQualityAssessment
https://github.com/MindSpore-paper-code-3/code8/tree/main/FaceQualityAssessment
https://github.com/MindSpore-scientific-2/code-11/tree/main/TSA_mindspore
Improving generative adversarial network inversion via fine-tuning GAN encoders
https://github.com/MindSpore-scientific/code-11/tree/main/Super-Resolution-for-Root-Imaging
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Montia/bw2color
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/NJU-PCALab/AddSR
AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
https://github.com/NeuralVFX/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Nguyendat-bit/pix2pix-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/NiallEHunt/MonocularDepth-Using-LightFields
https://github.com/Nisnab/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/OFRIN/Tensorflow_Pixel2Pixel
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/OniroAI/MonoDepth-PyTorch
Unsupervised Monocular Depth Estimation with Left-Right Consistency
https://github.com/Orkis-Research/Pytorch-Quaternion-Neural-Networks/tree/28caa7cde240e354fd7b87280450fd233cd494c3/exp/icassp_2019
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing
https://github.com/PDEUXA/AIF_CYCLEGAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0/tree/master/Chapter04
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/PatrickTUM/UnCRtainTS
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
https://github.com/Paul92/cp_2020
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/PieterBijl/Group28
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Pomu0708/PyDnet
Towards real-time unsupervised monocular depth estimation on CPU
https://github.com/PranjalSahu/InteractiveSmoothingDBT
A Cone-Beam X-Ray CT Data Collection designed for Machine Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.