Papers Room Layout Estimation
“Room Layout Estimation” 태그가 달린 논문 49편 · 필터 해제
PolyLayout: Multi-room Manhattan Layout Estimation
Estimating room layouts from multi-view imagery is a core task for indoor scene understanding. Existing methods are typically limited either by poor generalization to new datasets or restrictive geometric assumptions of …
Room Layout EstimationScene UnderstandingPanoramic Scene Analysis: A Survey from Distortion-Aware Engineering to Sphere-Native Foundation Modeling
Panoramic images capture the complete visual sphere in a single frame, providing spatial context unattainable by conventional cameras. Yet this completeness comes at a geometric cost: the 2-sphere cannot be faithfully ma…
Room Layout EstimationSemantic SegmentationDepth EstimationLayout Anything: One Transformer for Universal Room Layout Estimation
We present Layout Anything, a transformer-based framework for indoor layout estimation that adapts the OneFormer's universal segmentation architecture to geometric structure prediction. Our approach integrates OneFormer'…
Computational EfficiencyRoom Layout EstimationContrastive LearningPanoTPS-Net: Panoramic Room Layout Estimation via Thin Plate Spline Transformation
Accurately estimating the 3D layout of rooms is a crucial task in computer vision, with potential applications in robotics, augmented reality, and interior design. This paper proposes a novel model, PanoTPS-Net, to estim…
Room Layout EstimationPixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment
Coarse room layout estimation provides important geometric cues for many downstream tasks. Current state-of-the-art methods are predominantly based on single views and often assume panoramic images. We introduce PixCuboi…
Room Layout EstimationuLayout: Unified Room Layout Estimation for Perspective and Panoramic Images
We present uLayout, a unified model for estimating room layout geometries from both perspective and panoramic images, whereas traditional solutions require different model designs for each image type. The key idea of our…
Room Layout EstimationBADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction
Reconstructing precise camera poses and floor plan layouts from wide-baseline RGB panoramas is a difficult and unsolved problem. We introduce BADGR, a novel diffusion model that jointly performs reconstruction and bundle…
DenoisingLayout GenerationMulti-View 3D ReconstructionMulti-view Floor Layout Reconstruction (N-view)+2Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model
Room layout estimation from multiple-perspective images is poorly investigated due to the complexities that emerge from multi-view geometry, which requires muti-step solutions such as camera intrinsic and extrinsic estim…
3D ReconstructionRoom Layout EstimationHUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics
Motivated by the efficiency of spherical harmonics (SH) in representing various physical phenomena, we propose a Holistic panoramic 3D scene Understanding framework using Spherical Harmonics, dubbed as HUSH. Our appr…
Depth EstimationRoom Layout EstimationScene UnderstandingSelf-training Room Layout Estimation via Geometry-aware Ray-casting
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-casting formulation to aggregate multiple est…
Room Layout EstimationAn Empty Room is All We Want: Automatic Defurnishing of Indoor Panoramas
We propose a pipeline that leverages Stable Diffusion to improve inpainting results in the context of defurnishing -- the removal of furniture items from indoor panorama images. Specifically, we illustrate how increased …
AllRoom Layout EstimationNo More Ambiguity in 360° Room Layout via Bi-Layout Estimation
Inherent ambiguity in layout annotations poses significant challenges to developing accurate 360{\deg} room layout estimation models. To address this issue, we propose a novel Bi-Layout model capable of predicting two di…
Room Layout EstimationNo More Ambiguity in 360deg Room Layout via Bi-Layout Estimation
Inherent ambiguity in layout annotations poses significant challenges to developing accurate 360deg room layout estimation models. To address this issue we propose a novel Bi-Layout model capable of predicting two di…
Room Layout EstimationiBARLE: imBalance-Aware Room Layout Estimation
Room layout estimation predicts layouts from a single panorama. It requires datasets with large-scale and diverse room shapes to train the models. However, there are significant imbalances in real-world datasets includin…
AvgDomain GeneralizationRoom Layout EstimationPolygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes
This paper presents a neural network based semantic plane detection method utilizing polygon representations. The method can for example be used to solve room layout estimations tasks. The method is built on, combines an…
Room Layout EstimationShape-Net: Room Layout Estimation from Panoramic Images Robust to Occlusion using Knowledge Distillation with 3D Shapes as Additional Inputs
Estimating the layout of a room from a single-shot panoramic image is important in virtual/augmented reality and furniture layout simulation. This involves identifying three-dimensional (3D) geometry, such as the locatio…
3D geometry3D ReconstructionKnowledge DistillationRoom Layout EstimationU2RLE: Uncertainty-Guided 2-Stage Room Layout Estimation
While the existing deep learning-based room layout estimation techniques demonstrate good overall accuracy, they are less effective for distant floor-wall boundary. To tackle this problem, we propose a novel uncertainty-…
Room Layout EstimationDisentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
Based on the Manhattan World assumption, most existing indoor layout estimation schemes focus on recovering layouts from vertically compressed 1D sequences. However, the compression procedure confuses the semantics of di…
Room Layout EstimationSegmentationFrom Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds
Room layout estimation is a long-existing robotic vision task that benefits both environment sensing and motion planning. However, layout estimation using point clouds (PCs) still suffers from data scarcity due to annota…
Motion PlanningPseudo LabelRoom Layout Estimationset matchingPanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image
In this paper, we propose PanoViT, a panorama vision transformer to estimate the room layout from a single panoramic image. Compared to CNN models, our PanoViT is more proficient in learning global information from the p…
PositionRoom Layout Estimation