3 papers
cs.CV2026
Prompting Diffusion Models for Zero-Shot Instance Segmentation
Irem Zeynep Alagöz, Nils Morbitzer, Andrea Ramazzina +3
Several disruptive research directions have recently emerged in computer vision, including foundation models achieving previously unseen zero-shot performance in scene understandin…
cs.CV2026
Future Dynamic 3D Reconstruction: Toward 3D World Modeling with Disentangled Ego-Motion
Nils Morbitzer, Jonathan Evers, Artem Savkin +4
Forecasting the evolution of dynamic environments is crucial for autonomous agents. While generative world models have achieved high photorealism in 2D video synthesis by mixing eg…
cs.CV2023
Robust Monocular Depth Estimation under Challenging Conditions
Stefano Gasperini, Nils Morbitzer, HyunJun Jung +2
While state-of-the-art monocular depth estimation approaches achieve impressive results in ideal settings, they are highly unreliable under challenging illumination and weather con…