5 papers
Point Cloud Upsampling through Patch-based Frequency Superposition
Marina Ritthaler, Azhar Hussian, Vasileios Belagiannis +1
In recent years, neural networks have become the dominant models in most point cloud upsampling methods. Although these approaches are achieving good results, they do have drawback…
I2PRef: Image-Driven Point Completion with Iterative Refinement
Azhar Hussian, Marina Ritthaler, André Kaup +1
We present an image-conditioned point cloud completion approach that treats images as the primary geometric source rather than a secondary guide. To this end, we introduce an Image…
Towards Object Segmentation Mask Selection Using Specular Reflections
Katja Kossira, Yunxuan Zhu, Jürgen Seiler +1
Specular reflections pose a significant challenge for object segmentation, as their sharp intensity transitions often mislead both conventional algorithms and deep learning based m…
LRC-DHVC: Towards Local Rate Control in Neural Video Compression
Marc Windsheimer, Simon Deniffel, André Kaup
Local rate control is a key enabler to generalize image and video compression for dedicated challenges, such as video coding for machines. While traditional hybrid video coding can…
Visual Autoregressive Modelling for Monocular Depth Estimation
Amir El-Ghoussani, André Kaup, Nassir Navab +2
We propose a monocular depth estimation method based on visual autoregressive (VAR) priors, offering an alternative to diffusion-based approaches. Our method adapts a large-scale t…