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Retrospective validation against the Vienna Baumkataster surfaces 81 unexplained high-stress trees in our study area as inspection candidates and produces zero false high-risk alarms. RootScape is the first system to expose the invisible subsurface conflict between urban greenery and gray infrastructure in an interactive, open-data, planning-oriented context. The codebase and demo are publicly available at https://github.com/AngelikiGram/rootscape.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4700, "image_height": 2198, "name": "grammatikaki-2026-rootscape-teaser.png", "type": "image/png", "size": 7859242, "path": "Publication:grammatikaki-2026-rootscape", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/grammatikaki-2026-rootscape-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/grammatikaki-2026-rootscape-teaser:thumb{{size}}.png" }, "sync_repositum_override": "authors,date", "repositum_presentation_id": null, "authors": [ 1937, 5485, 1110 ], "booktitle": "EuroVis 2026 : 28th Eurographics Conference on Visualization 2026 : Posters", "cfp": { "name": "call_for_papers_eurovis_posters.pdf", "type": "application/pdf", "error": 0, "size": 1161902, "orig_name": "call_for_papers_eurovis_posters.pdf", "ext": "pdf" }, "date_from": "2026-06-08", "date_to": "2026-06-12", "doi": "10.2312/evpd.20261025", "editor": "Elshealhy, Mai and Furmanova, Katarina and Garrison, Laura and Médoc, Nicolas", "event": "28th Eurographics Conference on Visualization (EuroVis 2026)", "isbn": "978-3-03868-305-6", "lecturer": [ 1937 ], "location": "Nottingham", "open_access": "yes", "pages": "3", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Visual analytics", "Geographic visualization", "Rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grammatikaki-2026-rootscape-paper.pdf", "type": "application/pdf", "size": 2947037, "path": "Publication:grammatikaki-2026-rootscape", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/grammatikaki-2026-rootscape-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/grammatikaki-2026-rootscape-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "grammatikaki-2026-rootscape-poster.pdf", "type": "application/pdf", "size": 7624224, "path": "Publication:grammatikaki-2026-rootscape", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/grammatikaki-2026-rootscape-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/grammatikaki-2026-rootscape-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4700, "image_height": 2198, "name": "grammatikaki-2026-rootscape-teaser.png", "type": "image/png", "size": 7859242, "path": "Publication:grammatikaki-2026-rootscape", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/grammatikaki-2026-rootscape-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/grammatikaki-2026-rootscape-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d10164" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-rootscape/", "__class": "Publication" }, { "id": "grammatikaki-2026-treesformer", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/229409", "title": "TreesFormer: Multimodal Grammar-Based 3D Tree Reconstruction from Sparse Geodata", "date": "2026-04-24", "abstract": "We present TreesFormer, the first grammar-based framework for reconstructing hierarchical 3D tree structures directly from sparse top-down geodata using only a single orthophoto and its corresponding Digital Surface Model (DSM). It employs a multi-modal autoregressive transformer that predicts compact parametric L-system grammars from DSM point clouds and orthophoto features, jointly predicting symbolic structure and geometric parameters while enforcing grammar constraints during decoding. To enable supervision in the absence of real-world grammar annotations, we introduce a synthetic multimodal dataset of procedurally generated trees with aligned aerial inputs and ground-truth L-system labels. Experiments show that DSMs drive overall geometric accuracy and crown shape, while orthophoto conditioning improves structural regularity and branching depth; their combination consistently outperforms either modality alone. The model generalizes to real-world Austrian and French aerial data, producing interpretable branching structures suitable for large-scale rural 3D mapping. The codebase, synthetic dataset, and pretrained model are publicly available at https://angelikigram.github.io/treesformer/.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2800, "image_height": 1042, "name": "grammatikaki-2026-treesformer-teaser.png", "type": "image/png", "size": 1993656, "path": "Publication:grammatikaki-2026-treesformer", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treesformer/grammatikaki-2026-treesformer-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treesformer/grammatikaki-2026-treesformer-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 1937, 5485, 1110 ], "booktitle": "Computer Graphics & Visual Computing (CGVC) 2026", "date_from": "2026-06-08", "date_to": "2026-06-12", "doi": "10.2312/cgvc.20261008", "editor": "Sheng, Yun and Elshehaly, Mai", "event": "28th Eurographics Conference on Visualization (EuroVis 2026)", "isbn": "978-3-03868-319-3", "lecturer": [ 1937 ], "location": "Nottingham", "open_access": "yes", "pages": "10", "pages_from": "1", "pages_to": "10", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Neural networks", "Mesh models", "Reconstruction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grammatikaki-2026-treesformer-paper.pdf", "type": "application/pdf", "size": 21512091, "path": "Publication:grammatikaki-2026-treesformer", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treesformer/grammatikaki-2026-treesformer-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treesformer/grammatikaki-2026-treesformer-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2800, "image_height": 1042, "name": "grammatikaki-2026-treesformer-teaser.png", "type": "image/png", "size": 1993656, "path": "Publication:grammatikaki-2026-treesformer", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treesformer/grammatikaki-2026-treesformer-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treesformer/grammatikaki-2026-treesformer-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d10164", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treesformer/", "__class": "Publication" }, { "id": "grammatikaki-2026-treeon", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/228171", "title": "TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps", "date": "2026", "abstract": "We present TreeON, a novel neural-based framework for reconstructing detailed 3D tree point clouds from sparse top-down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and silhouette loss to learn point cloud representations of trees without requiring species labels, procedural rules, detailed terrestrial reconstruction data, or ground laser scan data. To address the lack of ground truth data, we generate a synthetic dataset of point clouds from procedurally modeled trees and train our network on it. Quantitative and qualitative experiments demonstrate better reconstruction quality and coverage compared to existing methods, as well as strong generalization to real-world data, leading to visually appealing and structurally plausible tree point cloud representations that can be integrated into interactive digital 3D maps. The codebase, synthetic dataset, and pretrained model are publicly available at https://angelikigram.github.io/treeON/.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1698, "image_height": 496, "name": "grammatikaki-2026-treeon-teaser.png", "type": "image/png", "size": 1175153, "path": "Publication:grammatikaki-2026-treeon", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treeon/grammatikaki-2026-treeon-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treeon/grammatikaki-2026-treeon-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1937, 1653, 5415, 5462, 1110 ], "articleno": "e70366", "doi": "10.1111/cgf.70366", "issn": "1467-8659", "journal": "Computer Graphics Forum", "open_access": "yes", "pages": "14", "publisher": "WILEY", "research_areas": [], "keywords": [ "Computing methodologies", "Point-based models", "Reconstruction", "Neural Networks" ], "weblinks": [ { "href": "https://angelikigram.github.io/treeON/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grammatikaki-2026-treeon-paper.pdf", "type": "application/pdf", "size": 70465234, "path": "Publication:grammatikaki-2026-treeon", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treeon/grammatikaki-2026-treeon-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treeon/grammatikaki-2026-treeon-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1698, "image_height": 496, "name": "grammatikaki-2026-treeon-teaser.png", "type": "image/png", "size": 1175153, "path": "Publication:grammatikaki-2026-treeon", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treeon/grammatikaki-2026-treeon-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treeon/grammatikaki-2026-treeon-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d10164", "d9275" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/grammatikaki-2026-treeon/", "__class": "Publication" }, { "id": "huber-2025-eed", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/220017", "title": "Enhancing Environmental Data Communication Through VR", "date": "2025-09-12", "abstract": "This paper examines how environmental data can be effectively communicated to non-experts in interactive, immersive 3D spaces. Utilizing a use case centered on global spatio-temporal CO2 emissions and population dynamics over the past six decades, we explore techniques for presenting both absolute (country-level) and per capita data within meaningful spatial and temporal contexts. We developed a VR prototype visualizing these data on an interactive 3D globe and conducted a qualitative user study to evaluate its clarity and interpretability for non-expert audiences. Our findings suggest that incorporating clear geographical context, intuitive representations, and user-centered interactions can enhance engagement and certain aspects of understanding. We thereby offer a practical contribution to tackling environmental data visualization and communication in immersive environments. This promotes transparency and mitigates the risk of misinterpretation or misinformation in data communication across emerging digital media platforms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3835, "image_height": 1551, "name": "huber-2025-eed-teaser.PNG", "type": "image/png", "size": 4027742, "path": "Publication:huber-2025-eed", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 5456, 1653, 1030, 5485 ], "ac_number": "AC17672916", "booktitle": "Computer Graphics & Visual Computing (CGVC) 2025 : Eurographics UK Chapter Proceedings : Liverpool John Moores University, UK : 11 - 12 September 2025", "date_from": "2025-09-11", "date_to": "2025-09-12", "doi": "10.2312/cgvc.20251220", "event": "Computer Graphics & Visual Computing 2025 (CGVC 2025)", "isbn": "978-3-03868-293-6", "lecturer": [ 5456 ], "location": "Liverpool John Moores University", "open_access": "yes", "pages": "5", "pages_from": "1", "pages_to": "5", "publisher": "The Eurographics Association", "research_areas": [ "InfoVis", "VR" ], "keywords": [ "Human-centered computing", "User studies", "Virtual reality", "Information visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "huber-2025-eed-paper.pdf", "type": "application/pdf", "size": 4585623, "path": "Publication:huber-2025-eed", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3835, "image_height": 1551, "name": "huber-2025-eed-teaser.PNG", "type": "image/png", "size": 4027742, "path": "Publication:huber-2025-eed", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d10164" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/", "__class": "Publication" } ]