https://github.com/guolanqing/self-cascade
공식 코드Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
Papers with Code 아카이브
Video Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 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/guyyariv/TempoTokens
공식 코드Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
https://github.com/gxym/vcapsbench
공식 코드VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation
https://github.com/haku-huang/h-more
공식 코드H-MoRe: Learning Human-centric Motion Representation for Action Analysis
https://github.com/hanbo-cheng/dawn-pytorch
공식 코드https://github.com/hanshuyan/adjointdpm
공식 코드Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method
https://github.com/hansxsourse/vrmdiff
공식 코드VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
https://github.com/harlanhong/actalker
공식 코드https://github.com/harlanhong/cvpr2022-dagan
공식 코드Depth-Aware Generative Adversarial Network for Talking Head Video Generation
https://github.com/harlanhong/iccv2023-mcnet
공식 코드https://github.com/hehao13/cameractrl
공식 코드CameraCtrl: Enabling Camera Control for Text-to-Video Generation
https://github.com/hejrati/cdal
공식 코드https://github.com/hellovivian/generative-disco
공식 코드Generative Disco: Text-to-Video Generation for Music Visualization
https://github.com/hitsz-tmg/anim-director
공식 코드Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation
https://github.com/hiyouga/easyr1
공식 코드https://github.com/hpcaitech/open-sora
공식 코드https://github.com/hreynaud/dartagnan
공식 코드https://github.com/hreynaud/echonet-synthetic
공식 코드EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing
https://github.com/hritikbansal/talc
공식 코드TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
https://github.com/huang-yh/owl
공식 코드Owl-1: Omni World Model for Consistent Long Video Generation
https://github.com/hurunyi/videoshield
공식 코드VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking
https://github.com/hvision-nku/storydiffusion
공식 코드StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
https://github.com/id-animator/id-animator
공식 코드ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
https://github.com/igl-hkust/diffusionasshader
공식 코드Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control
https://github.com/insait-institute/intragen
공식 코드InTraGen: Trajectory-controlled Video Generation for Object Interactions
https://github.com/intmegroup/love
공식 코드LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation
https://github.com/invictus717/interactivevideo
공식 코드https://github.com/isogawalab/singleviewsurgicalvideo
공식 코드https://github.com/iva-mzsun/glober
공식 코드GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
https://github.com/iva-mzsun/mm-ldm
공식 코드MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation
https://github.com/iva-mzsun/moso
공식 코드MOSO: Decomposing MOtion, Scene and Object for Video Prediction
https://github.com/jakobhavtorn/benchmarking-lvms
공식 코드https://github.com/jasongzy/eg4d
공식 코드EG4D: Explicit Generation of 4D Object without Score Distillation
https://github.com/jeolpyeoni/StyleCineGAN
공식 코드StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
https://github.com/jiawei-ren/dreamgaussian4d
공식 코드https://github.com/jiyt17/prompt-a-video
공식 코드Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.