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Found 4 papers, 3 papers with code
GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration
GL-NeRF significantly reduces the number of MLP calls needed for volume rendering, introducing no additional data structures or neural networks.
Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation
Multi-modal semantic segmentation significantly enhances AI agents' perception and scene understanding, especially under adverse conditions like low-light or overexposed environments.
Ranked #3 on
Thermal Image Segmentation
on PST900
An Embodied Generalist Agent in 3D World
However, several significant challenges remain: (i) most of these models rely on 2D images yet exhibit a limited capacity for 3D input; (ii) these models rarely explore the tasks inherently defined in 3D world, e. g., 3D grounding, embodied reasoning and acting.
SQA3D: Situated Question Answering in 3D Scenes
We propose a new task to benchmark scene understanding of embodied agents: Situated Question Answering in 3D Scenes (SQA3D).
Ranked #1 on
Referring Expression
on SQA3D
