Traditional multi-view photometric stereo (MVPS) methods are often composed of multiple
disjoint stages, resulting in noticeable accumulated errors. In this paper, we present a neural …

Neural implicit surface learning has shown significant progress in multi-view 3D
reconstruction, where an object is represented by multilayer perceptrons that provide …

We present a neural rendering-based method called NeRO for reconstructing the geometry
and the BRDF of reflective objects from multiview images captured in an unknown …

Recent advancements in 2D diffusion models allow appearance generation on untextured
raw meshes. These methods create RGB textures by distilling a 2D diffusion model, which …

This paper proposes a practical photometric solution for the challenging problem of in-the-
wild inverse rendering under unknown ambient lighting. Our system recovers scene …

Neural implicit methods have achieved high-quality 3D object surfaces under slight specular
highlights. However, high specular reflections (HSR) often appear in front of target objects …

We introduce a novel multi-view stereo (MVS) method that can simultaneously recover not
just per-pixel depth but also surface normals, together with the reflectance of textureless …

We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on
measurements by miniature energy-efficient low-cost single-photon cameras. These …

For the improvement of robot-assisted minimally invasive surgery, 3D reconstruction of the
visual field in surgery is demanding nowadays. This task faces the difficulty that the tissue …

In this paper, we propose a novel method for joint recovery of camera pose, object geometry
and spatially-varying Bidirectional Reflectance Distribution Function (svBRDF) of 3D scenes …