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/vamsi3/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/vccimaging/deeplens
End-to-End Hybrid Refractive-Diffractive Lens Design with Differentiable Ray-Wave Model
https://github.com/vinceecws/Monodepth
Unsupervised Monocular Depth Estimation with Left-Right Consistency
https://github.com/vios-s/adversarial-test-time-training
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
https://github.com/viriditass/Style-transfer
https://github.com/visva89/varnetrecon
Learning a Variational Network for Reconstruction of Accelerated MRI Data
https://github.com/vita-epfl/monoloco
Unsupervised Monocular Depth Estimation with Left-Right Consistency
https://github.com/vvvityaaa/vvvityaaa
https://github.com/weihaox/UMBRAE
Brain Captioning: Decoding human brain activity into images and text
https://github.com/weipeng0703/Pix2Pix_MindSpore_For_PaperWithCode/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/weiwang2330/deep-adaptive-sampling
https://github.com/weiwang2330/deep-adaptive-sampling-mask
https://github.com/wenbihan/vidosat_icip2015
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising
https://github.com/wherzberg/Graph-Convolutional-Newton-type-Method
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems
https://github.com/will-wang19/Image-Edit-with-Mask-generated-by-Stable-Diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/wxy11-27/gmsr
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
https://github.com/xcyan/eccv16_attr2img
Attribute2Image: Conditional Image Generation from Visual Attributes
https://github.com/xiaoiker/meta_dpm
https://github.com/xingchenzhao/Generating-Human-Skeletons-with-Mutual-Actions-WGAN-Pytorch
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/xingchenzhao/deep-learning-team-project
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/xiuyu0000/papers_with_examples/tree/main/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/xown3197/3D_Pedestrian_Localization_2021ComputerVision
Unsupervised Monocular Depth Estimation with Left-Right Consistency
https://github.com/xuehangzheng/PWLS-ULTRA-for-Low-Dose-3D-CT-Image-Reconstruction
https://github.com/xypu98/two-stage-HDR-video
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
https://github.com/yangling0818/contextdiff
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/yangyucheng000/MSpaper/tree/main/u2net
Res-U2Net: Untrained Deep Learning for Phase Retrieval and Image Reconstruction
https://github.com/yd8534976/conGAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/yenchenlin/pix2pix-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/yhao-z/Learned-Low-Rank
https://github.com/yhjo09/AdaTarget
https://github.com/yigitgunduc/tensor-to-image
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/yijie0710/GeoNet_pytorch
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
https://github.com/yokotatsuya/MMES
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior
https://github.com/yotharit/image_style_transfer
https://github.com/yoyotv/Image-derain-via-CGAN
Image-to-Image Translation with Conditional Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.