activity
20182026
most citedA Low-Cost, Flexible and Portable Volumetric Capturing System

35 citations · 72 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Geo-NVS-w: Geometry-Aware Novel View Synthesis In-the-Wild with an SDF Renderer

Anastasios Tsalakopoulos, Angelos Kanlis, Evangelos Chatzis +2

We introduce Geo-NVS-w, a geometry-aware framework for high-fidelity novel view synthesis from unstructured, in-the-wild image collections. While existing in-the-wild methods alrea…

cs.CV2025★ 1 cited

Image Valuation in NeRF-based 3D reconstruction

Grigorios Aris Cheimariotis, Antonis Karakottas, Vangelis Chatzis +2

Data valuation and monetization are becoming increasingly important across domains such as eXtended Reality (XR) and digital media. In the context of 3D scene reconstruction from a…

cs.CV2021

Hyper360 -- a Next Generation Toolset for Immersive Media

Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou +7

Spherical 360° video is a novel media format, rapidly becoming adopted in media production and consumption of immersive media. Due to its novelty, there is a lack of tools for prod…

cs.MM2020

The Hyper360 toolset for enriched 360 video

Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou +7

360 video is a novel media format, rapidly becoming adopted in media production and consumption as part of todays ongoing virtual reality revolution. Due to its novelty, th…

cs.CV2019★ 2 cited

Restyling Data: Application to Unsupervised Domain Adaptation

Vasileios Gkitsas, Antonis Karakottas, Nikolaos Zioulis +2

Machine learning is driven by data, yet while their availability is constantly increasing, training data require laborious, time consuming and error-prone labelling or ground truth…

cs.CV2019★ 8 cited

Spherical View Synthesis for Self-Supervised 360 Depth Estimation

Nikolaos Zioulis, Antonis Karakottas, Dimitrios Zarpalas +2

Learning based approaches for depth perception are limited by the availability of clean training data. This has led to the utilization of view synthesis as an indirect objective fo…

cs.CV2019

Surface Regression with a Hyper-Sphere Loss

Antonis Karakottas, Nikolaos Zioulis, Stamatis Samaras +4

Omnidirectional vision is becoming increasingly relevant as more efficient image acquisition is now possible. However, the lack of annotated datasets has hindered t…

cs.CV2019★ 35 cited

A Low-Cost, Flexible and Portable Volumetric Capturing System

Vladimiros Sterzentsenko, Antonis Karakottas, Alexandros Papachristou +4

Multi-view capture systems are complex systems to engineer. They require technical knowledge to install and intricate processes to setup related mainly to the sensors' spatial alig…

cs.CV2018★ 26 cited

OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas

Nikolaos Zioulis, Antonis Karakottas, Dimitrios Zarpalas +1

Recent work on depth estimation up to now has only focused on projective images ignoring 360 content which is now increasingly and more easily produced. We show that monocular dept…