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Eduard Ramon

2 accepted papers

2023

Network-Free, Unsupervised Semantic Segmentation With Synthetic Images

CVPR 2023poster

We derive a method that yields highly accurate semantic segmentation maps without the use of any additional neural network, layers, manually annotated training data, or supervised training. Our method is based on the observation that the correlation of a set of pixels belonging to the same semantic…

Cited by 5SourcePDFScholar
2021

H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction

ICCV 2021poster

Recent learning approaches that implicitly represent surface geometry using coordinate-based neural representations have shown impressive results in the problem of multi-view 3D reconstruction. The effectiveness of these techniques is, however, subject to the availability of a large number (several…

Cited by 104PDFScholar