Timo Teufel — accepted AI-conference papers

2026

OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control

Xilong Zhou, Jianchun Chen, Pramod Rao, Timo Teufel, Linjie Lyu, Tigran Minasian +4

CVPR 2026

We introduce OLATverse, a large-scale dataset comprising around 9M images of 765 real-world objects, captured from multiple viewpoints under a diverse set of precisely controlled lighting conditions. While recent advances in object-centric inverse rendering, novel view synthesis and relighting have

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2025

HumanOLAT: A Large-Scale Dataset for Full-Body Human Relighting and Novel-View Synthesis

Timo Teufel, Pulkit Gera, Xilong Zhou, Umar Iqbal, Pramod Rao, Jan Kautz +2

ICCV 2025poster

Simultaneous relighting and novel-view rendering of digital human representations is an important yet challenging task with numerous applications. However, progress in this area has been significantly limited due to the lack of publicly available, high-quality datasets, especially for full-body huma…

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