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Survey of vulnerabilities in large language models revealed by adversarial attacks
E Shayegani, MAA Mamun, Y Fu, P Zaree… - ar**: Segment and edit anything in 3d scenes
Abstract The recent Gaussian Splatting achieves high-quality and real-time novel-view
synthesis of the 3D scenes. However, it is solely concentrated on the appearance and …
synthesis of the 3D scenes. However, it is solely concentrated on the appearance and …
Segment anything in 3d with nerfs
Abstract Recently, the Segment Anything Model (SAM) emerged as a powerful vision
foundation model which is capable to segment anything in 2D images. This paper aims to …
foundation model which is capable to segment anything in 2D images. This paper aims to …
Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields
Abstract 3D scene representations have gained immense popularity in recent years.
Methods that use Neural Radiance fields are versatile for traditional tasks such as novel …
Methods that use Neural Radiance fields are versatile for traditional tasks such as novel …
Fsgs: Real-time few-shot view synthesis using gaussian splatting
Novel view synthesis from limited observations remains a crucial and ongoing challenge. In
the realm of NeRF-based few-shot view synthesis, there is often a trade-off between the …
the realm of NeRF-based few-shot view synthesis, there is often a trade-off between the …
Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning
For robots to perform a wide variety of tasks, they require a 3D representation of the world
that is semantically rich, yet compact and efficient for task-driven perception and planning …
that is semantically rich, yet compact and efficient for task-driven perception and planning …