Text-to-Video Generation
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Ma grand-mère m’a raconté que quand elle était étudiante, elle avait un petit-ami. À l’âge de 18 ans, il a dû partir pour le service militaire, elle ne l’a pas attendu et elle a épousé quelqu’un d’autre. Quand ma grand-mère avait 58-59 ans, un homme (son premier amour) lui a envoyé une demande d’amis sur un réseau social, ils ont commencé à parler... En moins de six mois, ils ont décidé de se voir. Le trajet en train a duré deux jours et ils se sont finalement rencontrés. Cela fait maintenant deux ans qu’ils habitent ensemble et qu’ils nous rendent visite de temps en temps. Je réalise maintenant que leur amour l’un envers l’autre n’a jamais cessé.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Enabling Versatile Controls for Video Diffusion Models
PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data
HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models
WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation
Versatile Multimodal Controls for Expressive Talking Human Animation
VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control
VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models
RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation
VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation
CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation
Magic 1-For-1: Generating One Minute Video Clips within One Minute
FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices
IPO: Iterative Preference Optimization for Text-to-Video Generation
Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation
Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning
Magic Mirror: ID-Preserved Video Generation in Video Diffusion Transformers
TransPixeler: Advancing Text-to-Video Generation with Transparency
Gender Bias in Text-to-Video Generation Models: A case study of Sora
Open-Sora: Democratizing Efficient Video Production for All
SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis
Free-viewpoint Human Animation with Pose-correlated Reference Selection
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking
Follow-Your-MultiPose: Tuning-Free Multi-Character Text-to-Video Generation via Pose Guidance
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity
Mojito: Motion Trajectory and Intensity Control for Video Generation
InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.