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Article
Deep Learning-Based Image and Video Inpainting: A Survey
Image and video inpainting is a classic problem in computer vision and computer graphics, aiming to fill in the plausible and realistic content in the missing areas of images and videos. With the advance of de...
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Chapter and Conference Paper
HairNet: Hairstyle Transfer with Pose Changes
We propose a novel algorithm for automatic hairstyle transfer, specifically targeting complicated inputs that do not match in pose. The input to our algorithm are two images, one for the hairstyle and one for ...
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Chapter and Conference Paper
3D CoMPaT: Composition of Materials on Parts of 3D Things
We present 3D CoMPaT, a richly annotated large-scale dataset of more than 7.19 million rendered compositions of Materials on Parts of 7262 unique 3D Models; 990 compositions per model on average. 3D CoMPaT cov...
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Chapter and Conference Paper
LocalBins: Improving Depth Estimation by Learning Local Distributions
We propose a novel architecture for depth estimation from a single image. The architecture itself is based on the popular encoder-decoder architecture that is frequently used as a starting point for all dense...
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Chapter and Conference Paper
On the Robustness of Quality Measures for GANs
This work evaluates the robustness of quality measures of generative models such as Inception Score (IS) and Fréchet Inception Distance (FID). Analogous to the vulnerability of deep models against a variety of...
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Article
Manhattan Room Layout Reconstruction from a Single \(360^{\circ }\) Image: A Comparative Study of State-of-the-Art Methods
Recent approaches for predicting layouts from 360 \(^{\circ }\) ∘ ...
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Chapter and Conference Paper
How Does Lipschitz Regularization Influence GAN Training?
Despite the success of Lipschitz regularization in stabilizing GAN training, the exact reason of its effectiveness remains poorly understood. The direct effect of K-Lipschitz regularization is to restrict the L2-...
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Chapter and Conference Paper
Super-Resolution and Sparse View CT Reconstruction
We present a flexible framework for robust computed tomography (CT) reconstruction with a specific emphasis on recovering thin 1D and 2D manifolds embedded in 3D volumes. To reconstruct such structures at reso...
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Chapter and Conference Paper
Manhattan-World Urban Reconstruction from Point Clouds
Manhattan-world urban scenes are common in the real world. We propose a fully automatic approach for reconstructing such scenes from 3D point samples. Our key idea is to represent the geometry of the buildings...
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Chapter and Conference Paper
Large Scale Asset Extraction for Urban Images
Object proposals are currently used for increasing the computational efficiency of object detection. We propose a novel adaptive pipeline for interleaving object proposals with object classification and use it...
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Article
A Survey of Blue-Noise Sampling and Its Applications
In this paper, we survey recent approaches to blue-noise sampling and discuss their beneficial applications. We discuss the sampling algorithms that use points as sampling primitives and classify the sampling ...
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Article
Efficient triangulation of Poisson-disk sampled point sets
In this paper, we present a simple yet efficient algorithm for triangulating a 2D input domain containing a Poisson-disk sampled point set. The proposed algorithm combines a regular grid and a discrete cluster...
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Article
A framework for interactive image color editing
We propose a new method for interactive image color replacement that creates smooth and naturally looking results with minimal user interaction. Our system expects as input a source image and rawly scribbled t...
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Chapter
Feature Grou** and Selection Over an Undirected Graph
High-dimensional regression/classification is challenging due to the curse of dimensionality. Lasso [18] and its various extensions [10], which can simultaneously perform feature selection and regression/classifi...
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Book
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Article
Color-to-gray conversion using ISOMAP
In this paper we present a new algorithm to transform an RGB color image to a grayscale image. We propose using nonlinear dimension reduction techniques to map higher dimensional color vectors to lower dimensi...
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Chapter and Conference Paper
Tiamat: A Three-Dimensional Editing Tool for Complex DNA Structures
We present the development of a new graphical user interface driven molecular modeling, editing and visualization tool called Tiamat. Tiamat addresses the challenge of how to efficiently model large and comple...
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Article
A new image registration scheme based on curvature scale space curve matching
We propose a new image registration scheme for remote sensing images. This scheme includes three steps in sequence. First, a segmentation process is performed on the input image pair. Then the boundaries of th...
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Article
Punctuated simplification of man-made objects
We present a simplification algorithm for manifold polygonal meshes of plane-dominant models. Models of this type are likely to appear in man-made environments. While traditional simplification algorithms focu...
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Chapter and Conference Paper
Point-Based Impostors for Real-Time Visualization
We present a new data structure for encoding the appearance of a geometric model as seen from a viewing region (view cell). This representation can be used in interactive or real-time visualization application...
