https://github.com/yysijie/st-gcn
공식 코드Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
One-class learning towards generalized voice spoofing detection
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
Iterative Graph Filtering Network for 3D Human Pose Estimation
Self-supervised learning of object pose estimation using keypoint prediction
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
Text-Video Retrieval with Global-Local Semantic Consistent Learning
3D Human Pose Estimation with Spatial and Temporal Transformers
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
Investigating Personalization Methods in Text to Music Generation
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction
VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
Video-Based Human Pose Regression via Decoupled Space-Time Aggregation
DSR: Direct Simultaneous Registration for Multiple 3D Images
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.