From the 1 of 32 linked papers with an AI index.
13 papers · 1 filter
ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization
Kaiyuan Tang, Chaoli Wang
Recent advances in differentiable Gaussian splatting have highlighted the potential of primitive-based approaches as alternative scene representations for interactive, high-quality…
Lossless-INR: Lossless Volumetric Implicit Neural Representations
Kaiyuan Tang, Daniel Burke, Chaoli Wang
Implicit neural representation (INR) methods provide continuous coordinate-to-value mappings and integrate naturally with direct volume rendering, making them attractive for repres…
Leveraging Multimodal LLMs for Built Environment and Housing Attribute Assessment from Street-View Imagery
Siyuan Yao, Siavash Ghorbany, Kuangshi Ai +6
We present a novel framework for automatically evaluating building conditions nationwide in the United States by leveraging large language models (LLMs) and Google Street View (GSV…
Sketch2CT: Multimodal Diffusion for Structure-Aware 3D Medical Volume Generation
Delin An, Chaoli Wang
Diffusion probabilistic models have demonstrated significant potential in generating high-quality, realistic medical images, providing a promising solution to the persistent challe…
SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation
Zixuan Pan, Kaiyuan Tang, Jun Xia +5
2D Gaussian Splatting has emerged as a novel image representation technique that can support efficient rendering on low-end devices. However, scaling to high-resolution images requ…
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation
Pengfei Gu, Huimin Li, Yejia Zhang +2
Masked Autoencoders (MAEs) have been shown to be effective in pre-training Vision Transformers (ViTs) for natural and medical image analysis problems. By reconstructing missing pix…