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20222026
most citedBox2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes

4 citations · 10 across the 17 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024★ 2 cited

ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding

Guangda Ji, Silvan Weder, Francis Engelmann +2

Neural network performance scales with both model size and data volume, as shown in both language and image processing. This requires scaling-friendly architectures and large datas…

cs.CV2024

Search3D: Hierarchical Open-Vocabulary 3D Segmentation

Ayca Takmaz, Alexandros Delitzas, Robert W. Sumner +3

Open-vocabulary 3D segmentation enables exploration of 3D spaces using free-form text descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily focus on…

cs.CV2024

P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising

Mathias Vogel, Keisuke Tateno, Marc Pollefeys +3

In this work, we tackle the task of point cloud denoising through a novel framework that adapts Diffusion Schrödinger bridges to points clouds. Unlike previous approaches that pred…

cs.CV2024

OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation

Gonca Yilmaz, Songyou Peng, Marc Pollefeys +2

Recently, Vision-Language Models (VLMs) have advanced segmentation techniques by shifting from the traditional segmentation of a closed-set of predefined object classes to open-voc…

cs.RO2024★ 1 cited

Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds

Oliver Lemke, Zuria Bauer, René Zurbrügg +3

In recent years, modern techniques in deep learning and large-scale datasets have led to impressive progress in 3D instance segmentation, grasp pose estimation, and robotics. This…

cs.CV2024

OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views

Francis Engelmann, Fabian Manhardt, Michael Niemeyer +3

Large visual-language models (VLMs), like CLIP, enable open-set image segmentation to segment arbitrary concepts from an image in a zero-shot manner. This goes beyond the tradition…

cs.CV2024

SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs

Yang Miao, Francis Engelmann, Olga Vysotska +3

We introduce a novel problem, i.e., the localization of an input image within a multi-modal reference map represented by a database of 3D scene graphs. These graphs comprise multip…

cs.CV2024★ 1 cited

OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding

Francis Engelmann, Ayca Takmaz, Jonas Schult +25

This report provides an overview of the challenge hosted at the OpenSUN3D Workshop on Open-Vocabulary 3D Scene Understanding held in conjunction with ICCV 2023. The goal of this wo…