activity
20172025
most citedPhotoApp: Photorealistic Appearance Editing of Head Portraits

16 citations · 70 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CV2025

3DPR: Single Image 3D Portrait Relight using Generative Priors

Pramod Rao, Abhimitra Meka, Xilong Zhou +11

Rendering novel, relit views of a human head, given a monocular portrait image as input, is an inherently underconstrained problem. The traditional graphics solution is to explicit…

cs.CV2024★ 13 cited

Lite2Relight: 3D-aware Single Image Portrait Relighting

Pramod Rao, Gereon Fox, Abhimitra Meka +8

Achieving photorealistic 3D view synthesis and relighting of human portraits is pivotal for advancing AR/VR applications. Existing methodologies in portrait relighting demonstrate…

cs.CV2024

Blind Localization and Clustering of Anomalies in Textures

Andrei-Timotei Ardelean, Tim Weyrich

Anomaly detection and localization in images is a growing field in computer vision. In this area, a seemingly understudied problem is anomaly clustering, i.e., identifying and grou…

cs.RO2024★ 1 cited

Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Depth Sensors

Vanessa Wirth, Johanna Bräunig, Danti Khouri +4

Despite an emerging interest in MIMO radar, the utilization of its complementary strengths in combination with optical depth sensors has so far been limited to far-field applicatio…

eess.SP2023★ 6 cited

Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by exploiting Ray Meta Data of a Radar Ray Tracing Simulator

Christian Schüßler, Marcel Hoffmann, Vanessa Wirth +4

In this work a novel radar simulation concept is introduced that allows to simulate realistic radar data for Range, Doppler, and for arbitrary antenna positions in an efficient way…

cs.CV2023★ 2 cited

High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis

Andrei-Timotei Ardelean, Tim Weyrich

We propose a novel method for Zero-Shot Anomaly Localization on textures. The task refers to identifying abnormal regions in an otherwise homogeneous image. To obtain a high-fideli…