This paper introduces MVDiffusion, a simple yet effective multi-view ima...
This paper presents a novel generative model for Computer Aided Design (...
This paper presents PolyDiffuse, a novel structured reconstruction algor...
This paper proposes a low latency neural network architecture for event-...
This paper presents a novel approach to the Extreme Structure from Motio...
The paper presents a novel approach for vector-floorplan generation via ...
This paper presents an end-to-end neural mapping method for camera
local...
We present SkexGen, a novel autoregressive generative model for
computer...
This paper presents an extreme floorplan reconstruction task, a new benc...
This paper proposes the inertial localization problem, the task of estim...
This paper presents a novel attention-based neural network for structure...
This paper presents an explore-and-classify framework for structured
arc...
We address the task of converting a floorplan and a set of associated ph...
The paper proposes a multi-modal sensor fusion algorithm that fuses WiFi...
This paper proposes a novel heterogeneous grid convolution that builds a...
This paper proposes a novel graph-constrained generative adversarial net...
This paper tackles a 2D architecture vectorization problem, whose task i...
This paper proposes a novel message passing neural (MPN) architecture
Co...
This paper proposes a new approach for automated floorplan reconstructio...
This paper sets a new foundation for data-driven inertial navigation
res...
We propose a new approach for 3D instance segmentation based on sparse
c...
We present a novel approach to reconstruct large or featureless scenes. ...
This paper proposes a deep neural architecture, PlaneRCNN, that detects ...
This paper proposes a deep neural network (DNN) for piece-wise planar
de...
The ultimate goal of this indoor mapping research is to automatically
re...
This paper proposes a novel data-driven approach for inertial navigation...
This paper presents a novel algorithm that utilizes a 2D floorplan to al...
This paper addresses the problem of Structure from Motion (SfM) for indo...
This paper proposes an algorithm that turns a regular video capturing ur...
This paper proposes a novel MAP inference framework for Markov Random Fi...
Inference of correspondences between images from different modalities is...