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.
OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation
M4V: Multi-Modal Mamba for Text-to-Video Generation
InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation
FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing
Astraea: A GPU-Oriented Token-wise Acceleration Framework for Video Diffusion Transformers
OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation
Quality assessment of 3D human animation: Subjective and objective evaluation
VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters
InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking
LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation
T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models
A Unit Enhancement and Guidance Framework for Audio-Driven Avatar Video Generation
DualReal: Adaptive Joint Training for Lossless Identity-Motion Fusion in Video Customization
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation
We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback
Subject-driven Video Generation via Disentangled Identity and Motion
DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation
Tiger200K: Manually Curated High Visual Quality Video Dataset from UGC Platform
The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM
H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models
Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization
DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices
DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image Animation
VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
RecTable: Fast Modeling Tabular Data with Rectified Flow
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
Resource-Efficient Motion Control for Video Generation via Dynamic Mask Guidance
Can Text-to-Video Generation help Video-Language Alignment?
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.