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SSIM
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/subeeshvasu/2018_subeesh_epsr_eccvw
공식 코드Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network
https://github.com/sumitmamtani/Precipitation-Nowcasting
공식 코드UNet with Axial Transformer : A Neural Weather Model for Precipitation Nowcasting
https://github.com/supriyo100/orthoseisnet
공식 코드https://github.com/tacalvin/Poisson2Sparse
공식 코드Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image
https://github.com/tanguymagne/uvdoc
공식 코드https://github.com/tangzj/able-nerf
공식 코드ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field
https://github.com/tanvirnwu/hazespace2m
공식 코드https://github.com/thecml/cloud-ksvd
공식 코드https://github.com/thfylsty/ICPR2020_A_Dual_branch_Network_for_Infrared_and_Visible_Image_Fusion
공식 코드https://github.com/thoailt/cloud-removal
공식 코드Cloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missions
https://github.com/tinyvision/IPCodec
공식 코드Spatiotemporal Entropy Model is All You Need for Learned Video Compression
https://github.com/tldrafael/facereconstructionwithvaeandfacemasks
공식 코드Face Reconstruction with Variational Autoencoder and Face Masks
https://github.com/tongkunguan/ccd
공식 코드Self-supervised Character-to-Character Distillation for Text Recognition
https://github.com/tranleanh/edn-gtm
공식 코드A Novel Encoder-Decoder Network with Guided Transmission Map for Single Image Dehazing
https://github.com/trungpx/xmdpt
공식 코드Cross-view Masked Diffusion Transformers for Person Image Synthesis
https://github.com/trustai/deepsava
공식 코드Sparse Adversarial Video Attacks with Spatial Transformations
https://github.com/tsingqguo/misf
공식 코드MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting
https://github.com/uam-biometrics/faceqgen
공식 코드FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
https://github.com/umbc-sanjaylab/favtGAN
공식 코드Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels
https://github.com/ustlsh/TransPro
공식 코드Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
https://github.com/utcsilab/gsure-diffusion-mri
공식 코드Robust multi-coil MRI reconstruction via self-supervised denoising
https://github.com/utlive/enhanced_ssim
공식 코드https://github.com/utlive/funque
공식 코드https://github.com/valfride/lpr-rsr
공식 코드Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution
https://github.com/valfride/lpr-rsr-ext
공식 코드Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers
https://github.com/vidya-rejul/uie-snn
공식 코드Underwater Image Enhancement by Convolutional Spiking Neural Networks
https://github.com/vincentqqu/nerf-nqa
공식 코드https://github.com/vincentqqu/nvs-sqa
공식 코드https://github.com/visioniclab/swinfusr
공식 코드SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution
https://github.com/vita-group/turbnet
공식 코드https://github.com/wanderinrain/xray2ct
공식 코드CT Reconstruction from Few Planar X-rays with Application towards Low-resource Radiotherapy
https://github.com/wang-x-1997/RPFNet
공식 코드Residual Prior-driven Frequency-aware Network for Image Fusion
https://github.com/wangwei-cmd/CT-image-reconstruction
공식 코드https://github.com/weitingchen83/NTIRE2021-Depth-Guided-Image-Relighting-MBNet
공식 코드Multi-modal Bifurcated Network for Depth Guided Image Relighting
https://github.com/wlsdzyzl/flemme
공식 코드Flemme: A Flexible and Modular Learning Platform for Medical Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.