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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/segmind/distill-sd
공식 코드BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion
https://github.com/sen-mao/3di2i-translation
공식 코드https://github.com/sergiuoprea/hgan
공식 코드https://github.com/shahaf1313/procst
공식 코드ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
https://github.com/sharif-apu/twostageHDR_NTIRE21
공식 코드A Two-stage Deep Network for High Dynamic Range Image Reconstruction
https://github.com/shendu-sw/PIRL
공식 코드https://github.com/shenzheng2000/tpsence
공식 코드TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain
https://github.com/sheqi/GAN_Review
공식 코드Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
https://github.com/shinshoji01/Style-Restricted_GAN
공식 코드https://github.com/sian-wusidi/stegogan
공식 코드StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
https://github.com/sihanxu/ace
공식 코드ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encoder
https://github.com/simontomaskarlsson/GAN-MRI
공식 코드https://github.com/singlezombie/afldm
공식 코드Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space
https://github.com/siyuhuang/latent-space-anchoring
공식 코드Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
https://github.com/sj-li/dp_gan
공식 코드Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis
https://github.com/skrmanne/3dlut_srgb_wb
공식 코드WB LUTs: Contrastive Learning for White Balancing Lookup Tables
https://github.com/smerdov/CS_GO_Sensors_Data_Analysis
공식 코드AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
https://github.com/smerdov/eSports_Sensors_Dataset
공식 코드https://github.com/smerdov/smart_chair_client
공식 코드https://github.com/sony-si/MultiView-Img2Img
공식 코드https://github.com/sophiajw/HistAuGAN
공식 코드https://github.com/spaceml-org/expanding-sdo-capabilities
공식 코드Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona
https://github.com/sqflow/sqflow
공식 코드Squeeze flow of micro-droplets: convolutional neural network with trainable and tunable refinement
https://github.com/ssalazarcolores/Desmoking-laparoscopy-surgery-images-using-an-image-to-image-translation-guided-by-an-embedded-Dark-
공식 코드https://github.com/stefanleong/s2crnet
공식 코드Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization
https://github.com/suhas-srinath/genselfdiff-his
공식 코드https://github.com/sulam-group/k-rcps
공식 코드How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
https://github.com/suxuann/ddib
공식 코드Dual Diffusion Implicit Bridges for Image-to-Image Translation
https://github.com/taesungp/contrastive-unpaired-translation
공식 코드Contrastive Learning for Unpaired Image-to-Image Translation
https://github.com/taki0112/UGATIT
공식 코드https://github.com/takuhirok/CP-GAN
공식 코드https://github.com/tamarott/ASAPNet
공식 코드Spatially-Adaptive Pixelwise Networks for Fast Image Translation
https://github.com/tan5o/anime2clothing
공식 코드Anime-to-Real Clothing: Cosplay Costume Generation via Image-to-Image Translation
https://github.com/tdchaitanya/MMTOD
공식 코드Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery
https://github.com/thmoa/tex2shape
공식 코드Tex2Shape: Detailed Full Human Body Geometry From a Single Image
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.