https://github.com/youmi-zym/go-slam
공식 코드GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction
Make It Move: Controllable Image-to-Video Generation with Text Descriptions
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
DistilPose: Tokenized Pose Regression with Heatmap Distillation
2.5D U-Net with Depth Reduction for 3D CryoET Object Identification
Precise and Generalized Robustness Certification for Neural Networks
Denoising Diffusion Models for Plug-and-Play Image Restoration
RealViformer: Investigating Attention for Real-World Video Super-Resolution
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representation
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
Multimodal Procedural Planning via Dual Text-Image Prompting
PASS: An ImageNet replacement for self-supervised pretraining without humans
Reference-based Image and Video Super-Resolution via C2-Matching
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution
HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera
IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos
Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation
Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaboration
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer Graph
STAF: 3D Human Mesh Recovery from Video with Spatio-Temporal Alignment Fusion
W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised Calibration
Diffusion Time-step Curriculum for One Image to 3D Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.