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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/denyingmxd/CVCDepth
공식 코드Towards Cross-View-Consistent Self-Supervised Surround Depth Estimation
https://github.com/desai-nisarg/openapepose
공식 코드OpenApePose: a database of annotated ape photographs for pose estimation
https://github.com/design-edit/DesignEdit
공식 코드DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing
https://github.com/devavrattomar/sst
공식 코드Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
https://github.com/deyingk/agmn
공식 코드https://github.com/difeigu/radalign
공식 코드RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
https://github.com/dingdingcai/ove6d-pose
공식 코드OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation
https://github.com/dingdingcai/sc6d-pose
공식 코드SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation
https://github.com/dingmyu/D4LCN
공식 코드Learning Depth-Guided Convolutions for Monocular 3D Object Detection
https://github.com/dingmyu/HR-NAS
공식 코드HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers
https://github.com/dingpx/eai
공식 코드https://github.com/dingsheng-ong/ipr-gan
공식 코드Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack
https://github.com/dingthuang/sd-net
공식 코드https://github.com/dinhviettoanle/survey-music-nlp
공식 코드https://github.com/distsup/DistSup
공식 코드https://github.com/ditzley/joint-gestures-and-face
공식 코드Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with Adapters
https://github.com/diyiiyiii/StyTR-2
공식 코드https://github.com/dkadish/Style-Transfer-for-Object-Detection-in-Art
공식 코드Improving Object Detection in Art Images Using Only Style Transfer
https://github.com/dkgupta90/re-siamnet
공식 코드https://github.com/dlalth557/ActMST
공식 코드Activating Self-Attention for Multi-Scene Absolute Pose Regression
https://github.com/dlr-rm/3dobjecttracking
공식 코드SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
https://github.com/dluvizon/3d-pose-consensus
공식 코드Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates
https://github.com/dluvizon/deephar
공식 코드Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
https://github.com/dluvizon/pose-regression
공식 코드Human Pose Regression by Combining Indirect Part Detection and Contextual Information
https://github.com/dmklee/image2sphere
공식 코드Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
https://github.com/dmlc/xgboost
공식 코드https://github.com/dmoltisanti/brace
공식 코드BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis
https://github.com/dolphin0104/CFMDGAN
공식 코드https://github.com/dome272/paella
공식 코드A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
https://github.com/dominickrei/poseawarevt
공식 코드Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
https://github.com/donggong1/learn-optimizer-rgdn
공식 코드Learning Deep Gradient Descent Optimization for Image Deconvolution
https://github.com/dongqi-fan/irconstyle
공식 코드IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer
https://github.com/dongwoohhh/GS-Blur
공식 코드GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring
https://github.com/dongzhou-1996/gknet
공식 코드GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft
https://github.com/dongzhou-1996/sncoat
공식 코드Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.