16 citations · 18 across the 2 of their papers we have counts for
4 papers
RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models
Başak Melis Öcal, Maxim Tatarchenko, Sezer Karaoglu +1
Point cloud completion aims to recover the complete 3D shape of an object from partial observations. While approaches relying on synthetic shape priors achieved promising results i…
Invariant Descriptors for Intrinsic Reflectance Optimization
Anil S. Baslamisli, Theo Gevers
Intrinsic image decomposition aims to factorize an image into albedo (reflectance) and shading (illumination) sub-components. Being ill-posed and under-constrained, it is a very ch…
Physics-based Shading Reconstruction for Intrinsic Image Decomposition
Anil S. Baslamisli, Yang Liu, Sezer Karaoglu +1
We investigate the use of photometric invariance and deep learning to compute intrinsic images (albedo and shading). We propose albedo and shading gradient descriptors which are de…
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
Anil S. Baslamisli, Partha Das, Hoang-An Le +2
In general, intrinsic image decomposition algorithms interpret shading as one unified component including all photometric effects. As shading transitions are generally smoother tha…