Papers with Code 아카이브
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.
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
GiVE: Guiding Visual Encoder to Perceive Overlooked Information
MarDini: Masked Autoregressive Diffusion for Video Generation at Scale
FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
Framer: Interactive Frame Interpolation
VISAGE: Video Synthesis using Action Graphs for Surgery
WorldSimBench: Towards Video Generation Models as World Simulators
3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors
FrameBridge: Improving Image-to-Video Generation with Bridge Models
Allegro: Open the Black Box of Commercial-Level Video Generation Model
EVA: An Embodied World Model for Future Video Anticipation
AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations
Fundus to Fluorescein Angiography Video Generation as a Retinal Generative Foundation Model
DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation
Movie Gen: A Cast of Media Foundation Models
DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation
DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control
VidPanos: Generative Panoramic Videos from Casual Panning Videos
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices
VideoAgent: Self-Improving Video Generation
MuseTalk: Real-Time High-Fidelity Video Dubbing via Spatio-Temporal Sampling
DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention
Boosting Camera Motion Control for Video Diffusion Transformers
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
HARIVO: Harnessing Text-to-Image Models for Video Generation
Progressive Autoregressive Video Diffusion Models
Scaling Laws For Diffusion Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.