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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges
Position: Next-Generation Game Engines Should Be Built on Interactive Generative Video
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving
LoViC: Efficient Long Video Generation with Context Compression
Leveraging Pre-Trained Visual Models for AI-Generated Video Detection
Taming Diffusion Transformer for Real-Time Mobile Video Generation
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding
DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
Chat with AI: The Surprising Turn of Real-time Video Communication from Human to AI
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments
Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation
$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting
Lumos-1: On Autoregressive Video Generation from a Unified Model Perspective
MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking
Scaling RL to Long Videos
Martian World Models: Controllable Video Synthesis with Physically Accurate 3D Reconstructions
FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality
GSVR: 2D Gaussian-based Video Representation for 800+ FPS with Hybrid Deformation Field
Video Event Reasoning and Prediction by Fusing World Knowledge from LLMs with Vision Foundation Models
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation
Tora2: Motion and Appearance Customized Diffusion Transformer for Multi-Entity Video Generation
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding
Omni-Video: Democratizing Unified Video Understanding and Generation
TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame Interpolation
PresentAgent: Multimodal Agent for Presentation Video Generation
Temporal Continual Learning with Prior Compensation for Human Motion Prediction
Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
AnyI2V: Animating Any Conditional Image with Motion Control
LLM-based Realistic Safety-Critical Driving Video Generation
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