This work introduces text-guided vector object extraction, where the goal is to recover an editable sub-SVG corresponding to a natural-language query, and proposes a raster-grounded extraction method that localizes the queried object in the rendered image and maps the resulting region back to SVG primitives through overlap-based filtering.
SceneBench is introduced, a benchmark of 966 photorealistic 3D scenes reconstructed with Gaussian Splatting and densely annotated with hierarchical semantics spanning scenes, rooms, functional areas, object groups, and individual objects that provides a realistic testbed for developing and evaluating models capable of...
Anubhav Khanal, Prabigya Acharya, Roshni Poudel et al.· 0 citations
SVG-BERT, a code-native encoder pretrained directly on SVG source code as representation infrastructure for structure-aware vector design workflows, consistently outperforms generic text encoders and provides information complementary to raster encoders, which remain stronger on strongly visual semantic tasks.
Boris Malashenko, Ivan Jarsky, V. Shalamov et al.· 0 citations
A five-tier architectural model is devised that incorporates a dedicated scene graph generation module tailored for archival data, aiming to enhance element detection and three-tier attention fusion module that integrates scene graph, text, and cross-modal features to ensure precise feature alignment.
OVR-GS (Open-Vocabulary Removal in Gaussian Splatting), an instruction-driven object-removal framework for pre-trained 3D Gaussian Splatting (3DGS) scenes, demonstrates the effectiveness of localized Gaussian optimization for instruction-driven cleanup of reconstructed environments before visual inspection, presentatio...
Yongpeng Ding, Feng Ouyang, Jiawei Fan et al.· Italian National Conference...· 0 citations
The results demonstrate the feasibility of integrating perception, 3D reconstruction, semantic assessment, and scalable deployment into a single applied pipeline, while remaining proof-of-concept and requiring extension to larger object and scene corpora, baselines, real-photograph evaluation, and human-centered assess...
Dan Toderici, Tiberiu-Gabriel Rodanciuc, George-Alexandru Micu et al.· Electronics· 0 citations
Scene Text Retrieval (STR) aims to search images containing a given textual query within large-scale image collections. However, existing approaches are fundamentally constrained in two ways: 1) they are evaluated on narrow benchmarks that focus primarily on natural scenes; and 2) they rely on either error-prone multi-...
Tong-Kun Guan, Yu-Tong Cai, Hao-Cheng Wang et al.· IEEE Transactions on Image P...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
