1 citations · 3 across the 8 of their papers we have counts for
10 papers
Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation
NVIDIA, :, Jiahui Huang +14
3D simulation platforms are critical for autonomous driving because they enable end-to-end policy evaluation, thereby reducing development costs and improving safety. In recent yea…
On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches
Florian Hofherr, Bjoern Haefner, Daniel Cremers
The bidirectional reflectance distribution function (BRDF) is an essential tool to capture the complex interaction of light and matter. Recently, several works have employed neural…
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye +2
Neural approaches have shown a significant progress on camera-based reconstruction. But they require either a fairly dense sampling of the viewing sphere, or pre-training on an exi…
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering
Mohammed Brahimi, Bjoern Haefner, Tarun Yenamandra +2
We propose an end-to-end inverse rendering pipeline called SupeRVol that allows us to recover 3D shape and material parameters from a set of color images in a super-resolution mann…
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
Lu Sang, Bjoern Haefner, Xingxing Zuo +1
Fine-detailed reconstructions are in high demand in many applications. However, most of the existing RGB-D reconstruction methods rely on pre-calculated accurate camera poses to re…
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach
Lu Sang, Bjoern Haefner, Daniel Cremers
A novel approach towards depth map super-resolution using multi-view uncalibrated photometric stereo is presented. Practically, an LED light source is attached to a commodity RGB-D…
On the well-posedness of uncalibrated photometric stereo under general lighting
Mohammed Brahimi, Yvain Quéau, Bjoern Haefner +1
Uncalibrated photometric stereo aims at estimating the 3D-shape of a surface, given a set of images captured from the same viewing angle, but under unknown, varying illumination. W…
Variational Uncalibrated Photometric Stereo under General Lighting
Bjoern Haefner, Zhenzhang Ye, Maolin Gao +3
Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions,…
Photometric Depth Super-Resolution
Bjoern Haefner, Songyou Peng, Alok Verma +2
This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to t…
Depth Super-Resolution Meets Uncalibrated Photometric Stereo
Songyou Peng, Bjoern Haefner, Yvain Quéau +1
A novel depth super-resolution approach for RGB-D sensors is presented. It disambiguates depth super-resolution through high-resolution photometric clues and, symmetrically, it dis…