5 accepted papers
High-quality 4D reconstruction enables photorealistic and immersive rendering of the dynamic real world. However, unlike static scenes that can be fully captured with a single camera, high-quality dynamic scenes typically require dense arrays of tens or even hundreds of synchronized cameras. Depende
Recent advances in large reconstruction and generative models have significantly improved scene reconstruction and novel view generation. However, due to compute limitations, each inference with these large models is confined to a small area, making long-range consistent scene generation challenging…
3D environment mapping has been actively stud-ied recently with the development of autonomous driving and augmented reality. Although many image-based methods are proposed due to their convenience and flexibility compared to other complex sensors, few works focus on fixing the inherent scale ambigui…
Empowering autonomous agents with 3D understanding for daily objects is a grand challenge in robotics applications. When exploring in an unknown environment, existing methods for object pose estimation are still not satisfactory due to the diversity of object shapes. In this paper, we propose a nove…
Obtaining accurate and sufficient feature matches is crucial for robust large-scale Structure-from-Motion. For unordered image collections, a traditional feature matching method with geometric verification requires a huge cost to find sufficient feature matches. Although several methods have been pr…