https://github.com/FeiiYin/StyleHEAT
공식 코드StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FingerRec/Self-Supervised-Temporal-Discriminative-Representation-Learning-for-Video-Action-Recognition
공식 코드Self-supervised Temporal Discriminative Learning for Video Representation Learning
https://github.com/FireFYF/modulatedautoencoder
공식 코드Variable Rate Deep Image Compression with Modulated Autoencoder
https://github.com/FlagOpen/FlagEmbedding/tree/master/MLVU
공식 코드https://github.com/FlappyPeggy/DMAD
공식 코드https://github.com/Flowerfan/SF-Net
공식 코드SF-Net: Single-Frame Supervision for Temporal Action Localization
https://github.com/FoundationVision/GLEE
공식 코드General Object Foundation Model for Images and Videos at Scale
https://github.com/Francis-Rings/MotionFollower
공식 코드MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion
https://github.com/Francis-Rings/StableAnimator
공식 코드StableAnimator: High-Quality Identity-Preserving Human Image Animation
https://github.com/FranzHahn/NPL-50-3-2595-2608-Correction
공식 코드Critical analysis on the reproducibility of visual quality assessment using deep features
https://github.com/Frostinassiky/gtad
공식 코드https://github.com/Fsoft-AIC/TP-GMOT
공식 코드TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT
https://github.com/FudanVI/compositional-scene-representation-toolbox/tree/main/video-decomposition-prediction
공식 코드https://github.com/FuxiVirtualHuman/Write-a-Speaker
공식 코드Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
https://github.com/G-U-N/Phased-Consistency-Model
공식 코드https://github.com/GUO-W/MultiMotion
공식 코드https://github.com/GZHU-DVL/CLIPVQA
공식 코드https://github.com/Garfield-kh/TM2D
공식 코드TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
https://github.com/Gauffret/TrajectorySet
공식 코드Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories
https://github.com/Gbouna/RE-TCN
공식 코드Action Recognition in Real-World Ambient Assisted Living Environment
https://github.com/GenjiB/ECLIPSE
공식 코드ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound
https://github.com/GewelsJI/FSNet
공식 코드https://github.com/GewelsJI/PNS-Net
공식 코드https://github.com/GinnyXiao/ReSpike
공식 코드ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition
https://github.com/GiuliaDAngelo/Speckegomotion
공식 코드Wandering around: A bioinspired approach to visual attention through object motion sensitivity
https://github.com/GongyeLiu/StyleCrafter
공식 코드StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
https://github.com/GuansongPang/deviation-network
공식 코드https://github.com/Guaranteer/VidSTG-Dataset
공식 코드Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
https://github.com/Guepardow/TWiX
공식 코드Learning Data Association for Multi-Object Tracking using Only Coordinates
https://github.com/Guepardow/Visual-features
공식 코드An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
https://github.com/GuoLusjtu/DVC
공식 코드https://github.com/Guohanzhong/OSA-LCM
공식 코드Real-time One-Step Diffusion-based Expressive Portrait Videos Generation
https://github.com/HCPLab-SYSU/ATEN
공식 코드Adaptive Temporal Encoding Network for Video Instance-level Human Parsing
https://github.com/HELLORPG/HATReID-MOT
공식 코드History-Aware Transformation of ReID Features for Multiple Object Tracking
https://github.com/HJYao00/DenseConnector
공식 코드https://github.com/HJYao00/Side4Video
공식 코드Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.