7 citations · 8 across the 7 of their papers we have counts for
8 papers
Seeing Once is Enough? Online Geometry-Aware Token Pruning for 3D Question Answering
Ruei-Chi Lai, Bolivar Solarte, Chin-Hsuan Wu +2
Recent Multi-modal Large Language Models (MLLMs) have demonstrated remarkable performance on 2D question answering tasks. However, extending these models to the 3D question answeri…
uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images
Jonathan Lee, Bolivar Solarte, Chin-Hsuan Wu +4
We present uLayout, a unified model for estimating room layout geometries from both perspective and panoramic images, whereas traditional solutions require different model designs…
Self-training Room Layout Estimation via Geometry-aware Ray-casting
Bolivar Solarte, Chin-Hsuan Wu, Jin-Cheng Jhang +3
In this paper, we introduce a novel geometry-aware self-training framework for room layout estimation models on unseen scenes with unlabeled data. Our approach utilizes a ray-casti…
iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse Views
Chin-Hsuan Wu, Yen-Chun Chen, Bolivar Solarte +2
We present iFusion, a novel 3D object reconstruction framework that requires only two views with unknown camera poses. While single-view reconstruction yields visually appealing re…
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu +2
We present 360-MLC, a self-training method based on multi-view layout consistency for finetuning monocular room-layout models using unlabeled 360-images only. This can be valuable…
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation
Bolivar Solarte, Yueh-Cheng Liu, Chin-Hsuan Wu +2
We present 360-DFPE, a sequential floor plan estimation method that directly takes 360-images as input without relying on active sensors or 3D information. Our approach leverages a…
Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images
Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu +3
This paper presents a novel preconditioning strategy for the classic 8-point algorithm (8-PA) for estimating an essential matrix from 360-FoV images (i.e., equirectangular images)…
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume
Ning-Hsu Wang, Bolivar Solarte, Yi-Hsuan Tsai +2
Recently, end-to-end trainable deep neural networks have significantly improved stereo depth estimation for perspective images. However, 360° images captured under equirectangular…