2 citations · 2 across the 6 of their papers we have counts for
6 papers
ArCSEM: Artistic Colorization of SEM Images via Gaussian Splatting
Takuma Nishimura, Andreea Dogaru, Martin Oeggerli +1
Scanning Electron Microscopes (SEMs) are widely renowned for their ability to analyze the surface structures of microscopic objects, offering the capability to capture highly detai…
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View
Andreea Ardelean, Mert Özer, Bernhard Egger
Single-view 3D reconstruction is currently approached from two dominant perspectives: reconstruction of scenes with limited diversity using 3D data supervision or reconstruction of…
AMOR: Ambiguous Authorship Order
Maximilian Weiherer, Andreea Dogaru, Shreya Kapoor +2
As we all know, writing scientific papers together with our beloved colleagues is a truly remarkable experience (partially): endless discussions about the same useless paragraph ov…
RANRAC: Robust Neural Scene Representations via Random Ray Consensus
Benno Buschmann, Andreea Dogaru, Elmar Eisemann +2
Learning-based scene representations such as neural radiance fields or light field networks, that rely on fitting a scene model to image observations, commonly encounter challenges…
Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction
Vanessa Sklyarova, Jenya Chelishev, Andreea Dogaru +3
Generating realistic human 3D reconstructions using image or video data is essential for various communication and entertainment applications. While existing methods achieved impre…
Sphere-Guided Training of Neural Implicit Surfaces
Andreea Dogaru, Andrei Timotei Ardelean, Savva Ignatyev +2
In recent years, neural distance functions trained via volumetric ray marching have been widely adopted for multi-view 3D reconstruction. These methods, however, apply the ray marc…