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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/guanxiongsun/stpn
공식 코드Spatio-temporal Prompting Network for Robust Video Feature Extraction
https://github.com/guanxiongsun/vfe.pytorch
공식 코드Spatio-temporal Prompting Network for Robust Video Feature Extraction
https://github.com/gulucaptain/dynamictrl
공식 코드https://github.com/gulucaptain/videoassembler
공식 코드MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing
https://github.com/gumpest/sparsevlms
공식 코드SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
https://github.com/guojiaqi-1020/medivlad
공식 코드Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor
https://github.com/guolanqing/self-cascade
공식 코드Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
https://github.com/guoshengcv/cacl
공식 코드Cross-Architecture Self-supervised Video Representation Learning
https://github.com/guoshi28/vjdd
공식 코드Toward Accurate and Temporally Consistent Video Restoration from Raw Data
https://github.com/guotaowang/STVS
공식 코드https://github.com/guoweixu368/sld-hmp
공식 코드Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction
https://github.com/guoxih/Busy-Quiet-Video-Disentangling-for-Video-Classification
공식 코드https://github.com/guoxih/region-based-non-local-network
공식 코드https://github.com/guoyang9/AdaVQA
공식 코드https://github.com/gurkirt/actNet-inAct
공식 코드Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge
https://github.com/guyyariv/TempoTokens
공식 코드Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
https://github.com/gxnu-zhonglab/odtrack
공식 코드ODTrack: Online Dense Temporal Token Learning for Visual Tracking
https://github.com/gxym/stgt
공식 코드Video-Language Alignment via Spatio-Temporal Graph Transformer
https://github.com/gxym/vcapsbench
공식 코드VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation
https://github.com/gyukai/i2vc
공식 코드I$^2$VC: A Unified Framework for Intra- & Inter-frame Video Compression
https://github.com/gyxxyg/trace
공식 코드TRACE: Temporal Grounding Video LLM via Causal Event Modeling
https://github.com/gyxxyg/vtg-llm
공식 코드VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
https://github.com/gzhu-dvl/attackvqa
공식 코드Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
https://github.com/gzhu-dvl/starvqaplus
공식 코드StarVQA+: Co-training Space-Time Attention for Video Quality Assessment
https://github.com/h-bouzid/spatr
공식 코드SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network
https://github.com/h-deep/trans-svsr
공식 코드A New Dataset and Transformer for Stereoscopic Video Super-Resolution
https://github.com/hadihdz/lccm_vc
공식 코드LCCM-VC: Learned Conditional Coding Modes for Video Compression
https://github.com/hadipardis/svc
공식 코드https://github.com/hadjisma/VideoAlignment
공식 코드Representation Learning via Global Temporal Alignment and Cycle-Consistency
https://github.com/haesoochung/hdri-saturation-compensation
공식 코드https://github.com/haesoochung/lan-hdr
공식 코드LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
https://github.com/haha-lisa/style-a-video
공식 코드Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
https://github.com/hailanyi/virconv
공식 코드Virtual Sparse Convolution for Multimodal 3D Object Detection
https://github.com/haipengzhou856/tbgdiff
공식 코드Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
https://github.com/haku-huang/h-more
공식 코드H-MoRe: Learning Human-centric Motion Representation for Action Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.