activity
20172026
most citedIntrinsic Image Decomposition via Ordinal Shading

43 citations · 79 across the 11 of their papers we have counts for

collaborators

12 papers

eess.IV2026

Recurrent Dynamic Range Extension

Sebastian Dille, Keru Fu, S. Mahdi H. Miangoleh +1

We present an approach to progressively extend the highlights of an image. Instead of reconstructing the full dynamic range of a complex scene directly, we learn a simpler task fir…

cs.GR2025★ 3 cited

Physically Controllable Relighting of Photographs

Chris Careaga, Yağız Aksoy

We present a self-supervised approach to in-the-wild image relighting that enables fully controllable, physically based illumination editing. We achieve this by combining the physi…

cs.CV2024

Intrinsic Single-Image HDR Reconstruction

Sebastian Dille, Chris Careaga, Yağız Aksoy

The low dynamic range (LDR) of common cameras fails to capture the rich contrast in natural scenes, resulting in loss of color and details in saturated pixels. Reconstructing the h…

cs.CV2024★ 25 cited

Colorful Diffuse Intrinsic Image Decomposition in the Wild

Chris Careaga, Yağız Aksoy

Intrinsic image decomposition aims to separate the surface reflectance and the effects from the illumination given a single photograph. Due to the complexity of the problem, most p…

cs.CV2024

A Bottom-Up Approach to Class-Agnostic Image Segmentation

Sebastian Dille, Ari Blondal, Sylvain Paris +1

Class-agnostic image segmentation is a crucial component in automating image editing workflows, especially in contexts where object selection traditionally involves interactive too…

cs.CV2024★ 3 cited

Scale-Invariant Monocular Depth Estimation via SSI Depth

S. Mahdi H. Miangoleh, Mahesh Reddy, Yağız Aksoy

Existing methods for scale-invariant monocular depth estimation (SI MDE) often struggle due to the complexity of the task, and limited and non-diverse datasets, hindering generaliz…

cs.CV2023

Intrinsic Harmonization for Illumination-Aware Compositing

Chris Careaga, S. Mahdi H. Miangoleh, Yağız Aksoy

Despite significant advancements in network-based image harmonization techniques, there still exists a domain disparity between typical training pairs and real-world composites enc…

cs.CV2023★ 43 cited

Intrinsic Image Decomposition via Ordinal Shading

Chris Careaga, Yağız Aksoy

Intrinsic decomposition is a fundamental mid-level vision problem that plays a crucial role in various inverse rendering and computational photography pipelines. Generating highly…

cs.CV2023★ 2 cited

Realistic Saliency Guided Image Enhancement

S. Mahdi H. Miangoleh, Zoya Bylinskii, Eric Kee +2

Common editing operations performed by professional photographers include the cleanup operations: de-emphasizing distracting elements and enhancing subjects. These edits are challe…

cs.CV2023

Computational Flash Photography through Intrinsics

Sepideh Sarajian Maralan, Chris Careaga, Yağız Aksoy

Flash is an essential tool as it often serves as the sole controllable light source in everyday photography. However, the use of flash is a binary decision at the time a photograph…

cs.CV2021★ 1 cited

Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging

S. Mahdi H. Miangoleh, Sebastian Dille, Long Mai +2

Neural networks have shown great abilities in estimating depth from a single image. However, the inferred depth maps are well below one-megapixel resolution and often lack fine-gra…

cs.CV2017★ 2 cited

Information-Flow Matting

Yağız Aksoy, Tunç Ozan Aydın, Marc Pollefeys

We present a novel, purely affinity-based natural image matting algorithm. Our method relies on carefully defined pixel-to-pixel connections that enable effective use of informatio…