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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ActiveVisionLab/LaLaLoc
공식 코드LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
https://github.com/ActiveVisionLab/NeFeS
공식 코드Neural Refinement for Absolute Pose Regression with Feature Synthesis
https://github.com/ActiveVisionLab/nope-nerf
공식 코드NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
https://github.com/ActiveVisionLab/porf
공식 코드PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction
https://github.com/Adamdad/hash3D
공식 코드https://github.com/African-Robotics-Unit/AcinoSet
공식 코드AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
https://github.com/AiuniAI/Unique3D
공식 코드Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
https://github.com/AlaaLab/InstructCV
공식 코드InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
https://github.com/AlanZhang1995/TwoStreamSR
공식 코드Two-Stream Action Recognition-Oriented Video Super-Resolution
https://github.com/AlexTheBad/AP-10K
공식 코드https://github.com/Alexuan/musical_instrument_embedding
공식 코드https://github.com/AliYoussef97/SuperPoint-PrP
공식 코드https://github.com/AlonzoLeeeooo/LCDG
공식 코드LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis
https://github.com/AlvinYH/Faster-VoxelPose
공식 코드Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection
https://github.com/Amazingren/CIT
공식 코드https://github.com/Andyen512/DDHPose
공식 코드https://github.com/Angtian/NeMo
공식 코드NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
https://github.com/Anshler/poem_generator
공식 코드Vietnamese Poem Generation & The Prospect Of Cross-Language Poem-To-Poem Translation
https://github.com/Apogentus/style-transfer-with-strength-control
공식 코드https://github.com/Ardibid/ArtisticStyleRoboticPainting
공식 코드https://github.com/ArghyaPal/Zero-shot-task-transfer
공식 코드https://github.com/Arthur151/DSD-SATN
공식 코드Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
https://github.com/Arthur151/ROMP
공식 코드https://github.com/ArturoDeza/NeuroFovea
공식 코드https://github.com/Ascend-Research/CascadedGaze
공식 코드CascadedGaze: Efficiency in Global Context Extraction for Image Restoration
https://github.com/Ascend-Research/HeadPoseEstimation-WHENet
공식 코드WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
https://github.com/Ascend-Research/Turtle
공식 코드Learning Truncated Causal History Model for Video Restoration
https://github.com/AtlantixJJ/frame-difference-loss
공식 코드https://github.com/Au3C2/Generator-Versus-Segmentor
공식 코드https://github.com/B1ueber2y/TrianFlow
공식 코드Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
https://github.com/BCV-Uniandes/SIMBA
공식 코드https://github.com/Banconxuan/RTM3D
공식 코드RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
https://github.com/BarqueroGerman/BeLFusion
공식 코드BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
https://github.com/BatFaceWayne/POV_Surgery
공식 코드POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
https://github.com/Benzoin96485/music102
공식 코드Music102: An $D_{12}$-equivariant transformer for chord progression accompaniment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.