https://github.com/Alena-Xinran/MaTAV
공식 코드Mamba-Enhanced Text-Audio-Video Alignment Network for Emotion Recognition in Conversations
Papers with Code 아카이브
Video Alignment
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DavidZhang73/AssemblyVideoManualAlignment
공식 코드Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
https://github.com/EvalCrafter/EvalCrafter
공식 코드EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
https://github.com/UTAustin-SwarmLab/NeuS-V
공식 코드Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification
https://github.com/art-jang/sign-to-subtitle
공식 코드Deep Understanding of Sign Language for Sign to Subtitle Alignment
https://github.com/baaivision/vid2vid-zero
공식 코드Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
https://github.com/benchcouncil/aigcbench
공식 코드AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI
https://github.com/daooshee/hd-vg-130m
공식 코드Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
https://github.com/dominickrei/poseawarevt
공식 코드Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
https://github.com/elicassion/3dtrl
공식 코드Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
https://github.com/google-research/google-research
공식 코드https://github.com/hansxsourse/vrmdiff
공식 코드VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
https://github.com/intmegroup/love
공식 코드LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation
https://github.com/keynekassapa13/LAC
공식 코드Self-Supervised Contrastive Learning for Videos using Differentiable Local Alignment
https://github.com/littlespray/e-bench
공식 코드VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
https://github.com/littlespray/ve-bench
공식 코드VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
https://github.com/lunarshen/dsicovla
공식 코드https://github.com/minghchen/carl_code
공식 코드Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
https://github.com/open-mmlab/foleycrafter
공식 코드FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Sounds
https://github.com/pku-alignment/safe-sora
공식 코드SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
https://github.com/qmme/t2vqa
공식 코드Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
https://github.com/showlab/show-1
공식 코드Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
https://github.com/sts-vlcc/sts-vlcc
공식 코드https://github.com/svip-lab/weaksvr
공식 코드Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos
https://github.com/tavihalperin/AV-sync
공식 코드https://github.com/tencent/hunyuanvideo
공식 코드HunyuanVideo: A Systematic Framework For Large Video Generative Models
https://github.com/thudm/cogvideo
공식 코드CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
https://github.com/xyz123xyz456/hallo4
공식 코드https://github.com/yaolinli/vce
공식 코드Edit As You Wish: Video Caption Editing with Multi-grained User Control
https://github.com/yikaiw/vidu4d
공식 코드Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
https://github.com/zcfinal/loveu-cvpr23-aqtc
공식 코드A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference
https://github.com/zibojia/COCOCO
공식 코드https://github.com/2023-MindSpore-1/ms-code-7/tree/main/TCN
Time-Contrastive Networks: Self-Supervised Learning from Video
https://github.com/Ji4chenLi/t2v-turbo
https://github.com/June01/tcc_Temporal_Cycle_Consistency_Loss.pytorch
https://github.com/Sy-Zhang/MMC-PCFG
Learning a Grammar Inducer from Massive Uncurated Instructional Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.