526 citations · 1.4k across the 51 of their papers we have counts for
4 papers · 1 filter
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner
We introduce a data-driven approach to complete partial 3D shapes through a combination of volumetric deep neural networks and 3D shape synthesis. From a partially-scanned input sh…
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Charles R. Qi, Hao Su, Matthias Niessner +3
3D shape models are becoming widely available and easier to capture, making available 3D information crucial for progress in object classification. Current state-of-the-art methods…
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration
Angela Dai, Matthias Nießner, Michael Zollhöfer +2
Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed reality and robotic applications. However, scalability brings challenges of drift in pose estimation, int…
Learning to Navigate the Energy Landscape
Julien Valentin, Angela Dai, Matthias Nießner +4
In this paper, we present a novel and efficient architecture for addressing computer vision problems that use `Analysis by Synthesis'. Analysis by synthesis involves the minimizati…