Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person Re-Identification

Information Science, Computer Science, Artificial Intelligence,
homogeneous consistency   heterogeneous consistency   label associations   unsupervised learning   visible-infrared person re-identification  

Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person Re-Identification Background Introduction Visible-Infrared Person Re-Identification (VI-ReID) is an important research direction in the field of computer vision, aiming to retrieve images of the same pedestrian from different modalities (v...

Aniclipart: Clipart Animation with Text-to-Video Priors

Information Science, Computer Science, Artificial Intelligence,
clipart animation   text-to-video diffusion   score distillation sampling   as-rigid-as-possible shape deformation   animation generation   visual consistency   keypoint trajectories  

Academic Background and Problem Statement Clipart, a pre-made graphic art form, is widely used in documents, presentations, and websites to quickly enhance visual content. However, traditional workflows for converting static clipart into motion sequences are laborious and time-consuming, often involving intricate steps such as rigging, keyframing, ...

LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models

LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models

Information Science, Computer Science, Artificial Intelligence,
video generation   diffusion models   generative modeling   text-to-video   high-quality video  

High-Quality Video Generation with Cascaded Latent Diffusion Models: LaVie Academic Background In recent years, with the breakthrough progress of Diffusion Models (DMs) in the field of image generation, Text-to-Image (T2I) generation technology has achieved significant success. However, extending this technology to Text-to-Video (T2V) generation st...

SLIDE: A Unified Mesh and Texture Generation Framework with Enhanced Geometric Control and Multi-View Consistency

SLIDE: A Unified Mesh and Texture Generation Framework with Enhanced Geometric Control and Multi-View Consistency

Information Science, Computer Science, Artificial Intelligence,
mesh generation   latent diffusion model   texture generation   controllable generation   multi-view consistency   point cloud encoding   3D content generation  

Academic Background With the increasing demand for high-quality 3D content across industries such as gaming, architecture, and social media, the manual creation of 3D assets has become time-consuming, technically demanding, and costly. In the gaming industry, the aesthetic quality of assets like characters and furniture significantly impacts the im...

From Behavior to Natural Language: Generative Approach for UAV Intent Recognition

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAV   intent recognition   generative model   cross-modal   time series   deep learning   confrontation environment  

UAV Behavior Intent Recognition Based on Generative Models: A Cross-Modal Study From Behavior to Natural Language Background and Research Objectives In recent years, Unmanned Aerial Vehicle (UAV) technology has advanced rapidly and has found widespread applications in civilian and military domains, including search and rescue, precision agriculture...

Q-Cogni: An Integrated Causal Reinforcement Learning Framework

Information Science, Computer Science, Artificial Intelligence,
causal inference   reinforcement learning   vehicle routing problem   autonomous causal structure discovery   model-free learning   model-based learning   interpretability  

Research Insight Report: Q-Cogni—An Integrated Causal Reinforcement Learning Framework In recent years, the rapid advancement of artificial intelligence (AI) has propelled researchers to explore the development of more efficient and interpretable reinforcement learning (RL) systems. Due to its ability to mimic human decision-making, reinforcement l...