11 papers
CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis
Florian Barthel, Wieland Morgenstern, Paul Hinzer +2
Recently, 3D GANs based on 3D Gaussian splatting have been proposed for high quality synthesis of human heads. However, existing methods stabilize training and enhance rendering qu…
RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction
Johannes Künzel, Anna Hilsmann, Peter Eisert
We introduce RIPE, an innovative reinforcement learning-based framework for weakly-supervised training of a keypoint extractor that excels in both detection and description tasks.…
Intraoperative perfusion assessment by continuous, low-latency hyperspectral light-field imaging: development, methodology, and clinical application
Stefan Kray, Andreas Schmid, Eric L. Wisotzky +6
Accurate assessment of tissue perfusion is crucial in visceral surgery, especially during anastomosis. Currently, subjective visual judgment is commonly employed in clinical settin…
SPNeRF: Open Vocabulary 3D Neural Scene Segmentation with Superpoints
Weiwen Hu, Niccolò Parodi, Marcus Zepp +3
Open-vocabulary segmentation, powered by large visual-language models like CLIP, has expanded 2D segmentation capabilities beyond fixed classes predefined by the dataset, enabling…
Improving Adaptive Density Control for 3D Gaussian Splatting
Glenn Grubert, Florian Barthel, Anna Hilsmann +1
3D Gaussian Splatting (3DGS) has become one of the most influential works in the past year. Due to its efficient and high-quality novel view synthesis capabilities, it has been wid…
Improving Geometric Consistency for 360-Degree Neural Radiance Fields in Indoor Scenarios
Iryna Repinetska, Anna Hilsmann, Peter Eisert
Photo-realistic rendering and novel view synthesis play a crucial role in human-computer interaction tasks, from gaming to path planning. Neural Radiance Fields (NeRFs) model scene…