Vision-based Real Estate Price Estimation
Investigates the role of visual characteristics in the valuation of real estate properties, revealing that traditional automated valuation models (AVM...
see more
Find all the Top AIReal Estate papers. Links to pdf, code repos and demos are provided.
Investigates the role of visual characteristics in the valuation of real estate properties, revealing that traditional automated valuation models (AVM...
see more
We present the symmetric thermal optimal path (TOPS) method to determine the
time-dependent lead-lag relationship between two stochastic time series. ...
see more
Considers a linear panel model with interactive fixed effects and unobserved individual and time heterogeneities that are captured by some latent grou...
see more
A long-standing goal of data management systems has been to build systems which can compute quantitative insights over large corpora of unstructured d...
see more
We study the problem of synthesizing immersive 3D indoor scenes from one or more images. Our aim is to generate high-resolution images and videos from...
see more
MVSplat introduces a new approach for efficient 3D Gaussian Splatting from sparse multi-view images, leveraging cost volume representations to enhance...
see more
RGB-D scanning of indoor environments is important for many applications,
including real estate, interior design, and virtual reality. However, it is
...
see more
Presents a revolutionary method for utilizing satellite imagery in machine learning (SIML) that enhances accessibility and efficiency while maintainin...
see more
We propose a method for annotating videos of complex multi-object scenes with a globally-consistent 3D representation of the objects. We annotate each...
see more
Indoor rooms are among the most common use cases in 3D scene understanding. Current state-of-the-art methods for this task are driven by large annotat...
see more
Recent years have seen a proliferation of new digital products for the efficient management of indoor spaces, with important applications like emergen...
see more
When modeling geo-spatial data, it is critical to capture spatial
correlations for achieving high accuracy. Spatial Auto-Regression (SAR) is a
common ...
see more