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Video Generation
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<span style="color:grey; opacity: 0.6">( Various Video Generation Tasks. Gif credit: MaGViT )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
VideoPanda: Video Panoramic Diffusion with Multi-view Attention
Aligning Anime Video Generation with Human Feedback
FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models
H-MoRe: Learning Human-centric Motion Representation for Action Analysis
CamMimic: Zero-Shot Image To Camera Motion Personalized Video Generation Using Diffusion Models
TokenMotion: Decoupled Motion Control via Token Disentanglement for Human-centric Video Generation
RealCam-Vid: High-resolution Video Dataset with Dynamic Scenes and Metric-scale Camera Movements
EasyGenNet: An Efficient Framework for Audio-Driven Gesture Video Generation Based on Diffusion Model
Diffusion Models for Robotic Manipulation: A Survey
Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Diffusion Transformers for Tabular Data Time Series Generation
Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
CamContextI2V: Context-aware Controllable Video Generation
One-Minute Video Generation with Test-Time Training
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models
OmniCam: Unified Multimodal Video Generation via Camera Control
MG-Gen: Single Image to Motion Graphics Generation with Layer Decomposition
SkyReels-A2: Compose Anything in Video Diffusion Transformers
ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation
Scene Splatter: Momentum 3D Scene Generation from Single Image with Video Diffusion Model
Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
WorldPrompter: Traversable Text-to-Scene Generation
WorldScore: A Unified Evaluation Benchmark for World Generation
HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation
Every Painting Awakened: A Training-free Framework for Painting-to-Animation Generation
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices
JointTuner: Appearance-Motion Adaptive Joint Training for Customized Video Generation
HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation
Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.