Papers with Code 아카이브
Video Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 16
- 보존된 평가 기록
- 130
<span style="color:grey; opacity: 0.6">( Various Video Generation Tasks. Gif credit: MaGViT )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/showlab/FAR
공식 코드Long-Context Autoregressive Video Modeling with Next-Frame Prediction
https://github.com/showlab/Tune-A-Video
공식 코드Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
https://github.com/showlab/draganything
공식 코드DragAnything: Motion Control for Anything using Entity Representation
https://github.com/showlab/loveu-tgve-2023
공식 코드https://github.com/showlab/movieagent
공식 코드https://github.com/showlab/moviebecnh
공식 코드MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation
https://github.com/showlab/show-1
공식 코드Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
https://github.com/showlab/show-o
공식 코드https://github.com/sia-ide/mmgt
공식 코드MMGT: Motion Mask Guided Two-Stage Network for Co-Speech Gesture Video Generation
https://github.com/sighingsnow/vf-eval
공식 코드VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos
https://github.com/silentview/lvd-2m
공식 코드LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
https://github.com/simulamet-host/conditional-polyp-diffusion
공식 코드Mask-conditioned latent diffusion for generating gastrointestinal polyp images
https://github.com/skyworkai/matrix-game
공식 코드https://github.com/skyworkai/skyreels-a2
공식 코드SkyReels-A2: Compose Anything in Video Diffusion Transformers
https://github.com/skyworkai/skyreels-v2
공식 코드https://github.com/smith31t/GeoFacies_DL
공식 코드https://github.com/snap-research/MoCoGAN-HD
공식 코드A Good Image Generator Is What You Need for High-Resolution Video Synthesis
https://github.com/snap-research/SF-V
공식 코드https://github.com/snap-research/mmvid
공식 코드Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
https://github.com/songluchuan/adasr-talkinghead
공식 코드Adaptive Super Resolution For One-Shot Talking-Head Generation
https://github.com/songweige/tats
공식 코드Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
https://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/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/stepfun-ai/step-video-t2v
공식 코드Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
https://github.com/stepfun-ai/step-video-ti2v
공식 코드Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model
https://github.com/stevenlsw/physgen
공식 코드PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation
https://github.com/sunxm2357/TwoStreamVAN
공식 코드https://github.com/susanqq/Talking_Face_Generation
공식 코드Talking Face Generation by Conditional Recurrent Adversarial Network
https://github.com/swc-17/drivecamsim
공식 코드DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving
https://github.com/taco-group/genai4ad
공식 코드Generative AI for Autonomous Driving: Frontiers and Opportunities
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