7 citations · 8 across the 4 of their papers we have counts for
4 papers
3D-LATTE: Latent Space 3D Editing from Textual Instructions
Maria Parelli, Michael Oechsle, Michael Niemeyer +2
Despite the recent success of multi-view diffusion models for text/image-based 3D asset generation, instruction-based editing of 3D assets lacks surprisingly far behind the quality…
Interpretable Visual Question Answering via Reasoning Supervision
Maria Parelli, Dimitrios Mallis, Markos Diomataris +1
Transformer-based architectures have recently demonstrated remarkable performance in the Visual Question Answering (VQA) task. However, such models are likely to disregard crucial…
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes
Alexandros Delitzas, Maria Parelli, Nikolas Hars +4
Training models to apply common-sense linguistic knowledge and visual concepts from 2D images to 3D scene understanding is a promising direction that researchers have only recently…
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes
Maria Parelli, Alexandros Delitzas, Nikolas Hars +4
Training models to apply linguistic knowledge and visual concepts from 2D images to 3D world understanding is a promising direction that researchers have only recently started to e…