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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/daooshee/hd-vg-130m
공식 코드Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
https://github.com/dapangliu/lamer
공식 코드Non-Parallel Text Style Transfer with Self-Parallel Supervision
https://github.com/dariopavllo/textured-3d-gan
공식 코드Learning Generative Models of Textured 3D Meshes from Real-World Images
https://github.com/dasongli1/learning_degradation
공식 코드https://github.com/data-science-in-mechanical-engineering/sae-rl
공식 코드https://github.com/david-friede/lddr
공식 코드https://github.com/davidelobba/TEMU-VTOFF
공식 코드Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
https://github.com/davidlainesv/sl-tssi-densenet
공식 코드Isolated Sign Language Recognition based on Tree Structure Skeleton Images
https://github.com/davidmhart/interpolated-selectionconv
공식 코드Interpolated SelectionConv for Spherical Images and Surfaces
https://github.com/davidpengucf/daf-dg
공식 코드A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
https://github.com/davidpengucf/epic
공식 코드Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation
https://github.com/davidpengucf/sfdahpe
공식 코드https://github.com/davrempe/caspr
공식 코드CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
https://github.com/davrempe/contact-human-dynamics
공식 코드https://github.com/davrempe/humor
공식 코드https://github.com/dayihengliu/Fine-Grained-Style-Transfer
공식 코드Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
https://github.com/dbash/lasagna
공식 코드Lasagna: Layered Score Distillation for Disentangled Object Relighting
https://github.com/dbsxodud-11/PAG
공식 코드Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
https://github.com/ddw2aigroup2cqupt/face-makeup
공식 코드Face-MakeUp: Multimodal Facial Prompts for Text-to-Image Generation
https://github.com/decayale/rnnpose
공식 코드https://github.com/decurtoidiaz/ce4
공식 코드Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4
https://github.com/deep-privacy/SA-toolkit
공식 코드Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques
https://github.com/deepalianeja/CharacterLipSync2D
공식 코드https://github.com/deepgogogo/CAGNet
공식 코드Consistency-Aware Graph Network for Human Interaction Understanding
https://github.com/deeplsd/merkel-podcast-corpus
공식 코드https://github.com/deepmed-lab-ecnu/single-image-deblur
공식 코드https://github.com/deepmed-lab/deeprft-aaai2023
공식 코드Intriguing Findings of Frequency Selection for Image Deblurring
https://github.com/deepmind/Temporal-3D-Pose-Kinetics
공식 코드Exploiting temporal context for 3D human pose estimation in the wild
https://github.com/deepmind/threednel
공식 코드3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
https://github.com/deepseek-ai/janus
공식 코드https://github.com/deepwise888/ochid-fi
공식 코드OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
https://github.com/deezer/robust-ai-lyrics-detection
공식 코드Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion
https://github.com/deguchihiroyuki/e2gs
공식 코드https://github.com/deinal/infant-aagcn
공식 코드Learning Developmental Age from 3D Infant Kinetics Using Adaptive Graph Neural Networks
https://github.com/delaprada/handsynthesis
공식 코드Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.