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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kapilw25/Evaluation_generated_images
공식 코드Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models
https://github.com/karlygzhu/rgan
공식 코드A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
https://github.com/karnwatcharasupat/dependency-aware-mi-metrics
공식 코드Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes
https://github.com/kartikeypant/text-simplification-qa-www2021
공식 코드Text Simplification for Comprehension-based Question-Answering
https://github.com/kartikgupta-at-anu/CullNet
공식 코드CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
https://github.com/kasvii/gator
공식 코드https://github.com/kasvii/pmce
공식 코드Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
https://github.com/katieluo88/staypositive
공식 코드Stay Positive: Non-Negative Image Synthesis for Augmented Reality
https://github.com/kaulquappe23/all-keypoints-jump-broadcast
공식 코드https://github.com/kedz/styleeq
공식 코드Low-Level Linguistic Controls for Style Transfer and Content Preservation
https://github.com/keithecarlson/StyleTransferBibleData
공식 코드https://github.com/kemaloksuz/LRP-Error
공식 코드https://github.com/kent0n-li/samscore
공식 코드SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation
https://github.com/keonlee9420/STYLER
공식 코드https://github.com/keshavbhandari/improvnet
공식 코드ImprovNet -- Generating Controllable Musical Improvisations with Iterative Corruption Refinement
https://github.com/kevinjosethomas/sign-language-processing
공식 코드An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval Interface
https://github.com/kevinlight831/sage
공식 코드SAGE: Exploring the Boundaries of Unsafe Concept Domain with Semantic-Augment Erasing
https://github.com/kevinlin311tw/CDCL-human-part-segmentation
공식 코드Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
https://github.com/kevinzakka/form2fit
공식 코드Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly
https://github.com/kfirgoldberg/ConceptLab
공식 코드ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints
https://github.com/khainb/quasi-sw
공식 코드https://github.com/khb1698/drpose
공식 코드Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton
https://github.com/kibeom-hong/aespa-net
공식 코드https://github.com/kibeom-hong/domain-aware-style-transfer
공식 코드https://github.com/kikyo-16/airgen
공식 코드https://github.com/kikyo-16/coco-mulla-repo
공식 코드https://github.com/kimsure/tcnet-for-vsr
공식 코드Temporal Consistency Learning of inter-frames for Video Super-Resolution
https://github.com/kingjamessong/fastdifferentiablematsqrt
공식 코드Fast Differentiable Matrix Square Root and Inverse Square Root
https://github.com/kingoflolz/topotag
공식 코드LFTag: A Scalable Visual Fiducial System with Low Spatial Frequency
https://github.com/kinyugo/msanii
공식 코드Msanii: High Fidelity Music Synthesis on a Shoestring Budget
https://github.com/kirumang/NOL
공식 코드Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images
https://github.com/kiteretsu77/vcisr-official
공식 코드VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
https://github.com/kitware/mevid
공식 코드MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification
https://github.com/kk9six/umotion
공식 코드UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units
https://github.com/kkakkkka/MambaTalk
공식 코드MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.