3 accepted papers
Visual localization is critical for AR navigation, AI-driven audio guidance, and mobile robot localization. How- ever, traditional SLAM methods that rely on pre-built 3D maps suffer from high costs, privacy concerns, and sensitivity to environmental changes. Recent floorplan-based localization metho…
Despite remarkable progress in image generation models, generating realistic hands remains a persistent challenge due to their complex articulation, varying viewpoints, and frequent occlusions. We present FoundHand, a large-scale domain-specific diffusion model for synthesizing single and dual hand…
3D mapping is critical for many robotics applications, such as autonomous navigation and object manipulation. Recently, deep implicit mapping approaches have received much attention for their compactness and ability to represent fine-grained details. However, without explicit guidance, such implicit…