Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete
point cloud observation is a long-standing problem in computer vision and graphics …

3D Gaussian Splatting (3DGS) has attracted significant attention for its potential to
revolutionize 3D representation, rendering, and interaction. Despite the rapid growth of …

Most existing approaches for point cloud normal estimation aim to locally fit a geometric
surface and calculate the normal from the fitted surface. Recently, learning-based methods …

Point cloud registration is essential for many applications. However, existing real datasets
require extremely tedious and costly annotations, yet may not provide accurate camera …

Learning signed distance functions (SDFs) from point clouds is an important task in 3D
computer vision. However, without ground truth signed distances, point normals or clean …

Rendering photorealistic and dynamically moving human heads is crucial for ensuring a
pleasant and immersive experience in AR/VR and video conferencing applications …

Reconstructing continuous surfaces from unoriented and unordered 3D points is a
fundamental challenge in computer vision and graphics. Recent advancements address this …

We present MS2Mesh-XR, a novel multi-modal sketch-to-mesh generation pipeline that
enables users to create realistic 3D objects in extended reality (XR) environments using …

Background: Point cloud has become one of the most important data formats for 3D
presentation because of the increased availability of acquisition devices and its wide …