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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/social-ai-studio/multihateclip
공식 코드MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili
https://github.com/sofiabroome/painface-recognition
공식 코드https://github.com/soheilb/multimodal_dictionary_learning
공식 코드Multimodal Task-Driven Dictionary Learning for Image Classification
https://github.com/solicucu/d3g
공식 코드D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
https://github.com/songguocode/TADAM
공식 코드https://github.com/songluchuan/adasr-talkinghead
공식 코드Adaptive Super Resolution For One-Shot Talking-Head Generation
https://github.com/songpipi/amdnet
공식 코드Towards Efficient Partially Relevant Video Retrieval with Active Moment Discovering
https://github.com/songweige/tats
공식 코드Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
https://github.com/songxiaoshuai/postedit
공식 코드https://github.com/sonny2020-c/rpfm-official-code
공식 코드Real-Time Person Image Synthesis Using a Flow Matching Model
https://github.com/sonyresearch/mmdisco
공식 코드MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation
https://github.com/sonyresearch/svg_baseline
공식 코드https://github.com/soolab/free-bloom
공식 코드Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
https://github.com/soraw-ai/awesome-text-to-video-generation
공식 코드From Sora What We Can See: A Survey of Text-to-Video Generation
https://github.com/sotif-avlab/sind
공식 코드https://github.com/sperimental3/charon
공식 코드Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning
https://github.com/srcn-ivl/ebme
공식 코드Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
https://github.com/srcn-ivl/upr-net
공식 코드A Unified Pyramid Recurrent Network for Video Frame Interpolation
https://github.com/sreyas-mohan/udvd
공식 코드https://github.com/srijandas07/VPN
공식 코드VPN: Learning Video-Pose Embedding for Activities of Daily Living
https://github.com/srijandas07/vpnplusplus
공식 코드VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
https://github.com/ssarfraz/FINCH-CLustering
공식 코드Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
https://github.com/sscivier/gp-prob-earthquake-shaking
공식 코드Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept
https://github.com/sshaoshuai/mtr
공식 코드MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction
https://github.com/sssste/react
공식 코드https://github.com/ssyang2020/ZeroSmooth
공식 코드ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video Generation
https://github.com/stability-ai/generative-models
공식 코드Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
https://github.com/stan-hua/temporal_hydronephrosis
공식 코드https://github.com/stanfordnlp/pyvene
공식 코드pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
https://github.com/stanlei52/aqvsr
공식 코드AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant
https://github.com/stanlei52/tqvsr
공식 코드AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant
https://github.com/starmemda/CAMoE
공식 코드Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
https://github.com/starmemda/camow
공식 코드Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
https://github.com/stegmuel/croc
공식 코드CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
https://github.com/stepankonev/MotionCNN-Waymo-Open-Motion-Dataset
공식 코드MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving
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