https://bitbucket.org/fafz/bayesian-icp
공식 코드Speeding Up Iterative Closest Point Using Stochastic Gradient Descent
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Speeding Up Iterative Closest Point Using Stochastic Gradient Descent
Stein ICP for Uncertainty Estimation in Point Cloud Matching
QuaSE: Accurate Text Style Transfer under Quantifiable Guidance
Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline
SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation
Human pose estimation via Convolutional Part Heatmap Regression
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
Tackling Data Bias in Painting Classification with Style Transfer
MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
Deep, convergent, unrolled half-quadratic splitting for image deconvolution
Night-to-Day Image Translation for Retrieval-based Localization
Event-Based Fusion for Motion Deblurring with Cross-modal Attention
AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
Real-time Pose Estimation from Images for Multiple Humanoid Robots
Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors
Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics
SynPick: A Dataset for Dynamic Bin Picking Scene Understanding
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
3D human pose estimation from depth maps using a deep combination of poses
SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.