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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lelechen63/talking-head-generation-survey
공식 코드What comprises a good talking-head video generation?: A Survey and Benchmark
https://github.com/lemmersj/ground-truth-or-daer
공식 코드Ground-truth or DAER: Selective Re-query of Secondary Information
https://github.com/leo-liuzy/propmend
공식 코드https://github.com/leob03/mdmp
공식 코드MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty
https://github.com/leolee99/pau
공식 코드Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
https://github.com/leon1207/video-rag-master
공식 코드Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
https://github.com/leonhlj/fac-net
공식 코드Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
https://github.com/leonhlj/rskp
공식 코드Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation
https://github.com/leonlha/Video-Action-Recognition-via-PSO-ConvNet-Transformer-Collaborative-Learning-with-Dynamics
공식 코드Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer
https://github.com/leonlha/video-action-recognition-collaborative-learning-with-dynamics-via-pso-convnet-transformer
공식 코드Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer
https://github.com/leonnnop/locater
공식 코드Local-Global Context Aware Transformer for Language-Guided Video Segmentation
https://github.com/levigty/acl
공식 코드Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition
https://github.com/levigty/aimclr
공식 코드https://github.com/levyisthebest/echopulse_prelease
공식 코드https://github.com/lgzlilili/biscc
공식 코드Weakly-Supervised Temporal Action Localization with Bidirectional Semantic Consistency Constraint
https://github.com/lgzlilili/boosting-wtal
공식 코드Boosting Weakly-Supervised Temporal Action Localization with Text Information
https://github.com/lhxcs/dvd-quant
공식 코드DVD-Quant: Data-free Video Diffusion Transformers Quantization
https://github.com/li-xirong/sea
공식 코드SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
https://github.com/lichao-sun/mora
공식 코드Mora: Enabling Generalist Video Generation via A Multi-Agent Framework
https://github.com/lichao-sun/sorareview
공식 코드Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
https://github.com/lidq92/LinearityIQA
공식 코드Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment
https://github.com/lidq92/MDTVSFA
공식 코드Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training
https://github.com/lidq92/VSFA
공식 코드https://github.com/lifeng9472/STRCF
공식 코드Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
https://github.com/lighting-yxli/tinq
공식 코드TINQ: Temporal Inconsistency Guided Blind Video Quality Assessment
https://github.com/lihaoxin05/stillmix
공식 코드Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground
https://github.com/lijiabei-7/rivrl
공식 코드Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
https://github.com/lijiaxiuHFUT/DPTMO
공식 코드Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding
https://github.com/lilidamowang/t2vindexer-generativesearch
공식 코드T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval
https://github.com/liliu-avril/Awesome-Segment-Anything
공식 코드https://github.com/liluxuan1997/DPP
공식 코드https://github.com/lily2lab/deepssm
공식 코드DeepSSM: Deep State-Space Model for 3D Human Motion Prediction
https://github.com/lilydaytoy/openpvsg
공식 코드https://github.com/lilydaytoy/pvsgannotation
공식 코드https://github.com/lilygeorgescu/AED
공식 코드A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
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