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.
Towards motion from video diffusion models
Teaching Video Diffusion Model with Latent Physical Phenomenon Knowledge
SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
Medical Video Generation for Disease Progression Simulation
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
AnimateAnything: Consistent and Controllable Animation for Video Generation
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation
Motion Control for Enhanced Complex Action Video Generation
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation
A Survey on Vision Autoregressive Model
Artificial Intelligence for Biomedical Video Generation
I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength
WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making
Autoregressive Models in Vision: A Survey
Taming Rectified Flow for Inversion and Editing
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
How Far is Video Generation from World Model: A Physical Law Perspective
Adaptive Caching for Faster Video Generation with Diffusion Transformers
Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
GameGen-X: Interactive Open-world Game Video Generation
Stereo-Talker: Audio-driven 3D Human Synthesis with Prior-Guided Mixture-of-Experts
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
Fashion-VDM: Video Diffusion Model for Virtual Try-On
HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models
LumiSculpt: A Consistency Lighting Control Network for Video Generation
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.