5 citations · 13 across the 5 of their papers we have counts for
8 papers
SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes
Partha Das, Sezer Karaoglu, Arjan Gijsenij +1
Intrinsic image decomposition (IID) is an under-constrained problem. Therefore, traditional approaches use hand crafted priors to constrain the problem. However, these constraints…
PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition
Partha Das, Sezer Karaoglu, Theo Gevers
Intrinsic image decomposition is the process of recovering the image formation components (reflectance and shading) from an image. Previous methods employ either explicit priors to…
Generative Models for Multi-Illumination Color Constancy
Partha Das, Yang Liu, Sezer Karaoglu +1
In this paper, the aim is multi-illumination color constancy. However, most of the existing color constancy methods are designed for single light sources. Furthermore, datasets for…
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
Hoang-An Le, Thomas Mensink, Partha Das +2
Multimodal large-scale datasets for outdoor scenes are mostly designed for urban driving problems. The scenes are highly structured and semantically different from scenarios seen i…
Novel View Synthesis from Single Images via Point Cloud Transformation
Hoang-An Le, Thomas Mensink, Partha Das +1
In this paper the argument is made that for true novel view synthesis of objects, where the object can be synthesized from any viewpoint, an explicit 3D shape representation isdesi…
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…