activity
20182024
most citedScan2CAD: Learning CAD Model Alignment in RGB-D Scans

22 citations · 30 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Coherent 3D Scene Diffusion From a Single RGB Image

Manuel Dahnert, Angela Dai, Norman Müller +1

We present a novel diffusion-based approach for coherent 3D scene reconstruction from a single RGB image. Our method utilizes an image-conditioned 3D scene diffusion model to simul…

cs.CV2021★ 8 cited

Panoptic 3D Scene Reconstruction From a Single RGB Image

Manuel Dahnert, Ji Hou, Matthias Nießner +1

Understanding 3D scenes from a single image is fundamental to a wide variety of tasks, such as for robotics, motion planning, or augmented reality. Existing works in 3D perception…

cs.CV2019

Joint Embedding of 3D Scan and CAD Objects

Manuel Dahnert, Angela Dai, Leonidas Guibas +1

3D scan geometry and CAD models often contain complementary information towards understanding environments, which could be leveraged through establishing a mapping between the two…

cs.HC2019

Looking beyond the horizon: Evaluation of four compact visualization techniques for time series in a spatial context

Manuel Dahnert, Alexander Rind, Wolfgang Aigner +1

Visualizing time series in a dense spatial context such as a geographical map is a challenging task, which requires careful balance between the amount of depicted data and perceptu…

cs.CV2018★ 22 cited

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Armen Avetisyan, Manuel Dahnert, Angela Dai +3

We present Scan2CAD, a novel data-driven method that learns to align clean 3D CAD models from a shape database to the noisy and incomplete geometry of a commodity RGB-D scan. For a…