Sketch-based shape retrieval

M Eitz, R Richter, T Boubekeur, K Hildebrand… - ACM Transactions on …, 2012 - dl.acm.org
We develop a system for 3D object retrieval based on sketched feature lines as input. For
objective evaluation, we collect a large number of query sketches from human users that are …

Sketch2Scene: Sketch-based co-retrieval and co-placement of 3D models

K Xu, K Chen, H Fu, WL Sun, SM Hu - ACM Transactions on Graphics …, 2013 - dl.acm.org
This work presents Sketch2Scene, a framework that automatically turns a freehand sketch
drawing inferring multiple scene objects to semantically valid, well arranged scenes of 3D …

Perceptual models of preference in 3D printing direction

X Zhang, X Le, A Panotopoulou, E Whiting… - ACM transactions on …, 2015 - dl.acm.org
This paper introduces a perceptual model for determining 3D printing orientations. Additive
manufacturing methods involving low-cost 3D printers often require robust branching …

Shape2pose: Human-centric shape analysis

VG Kim, S Chaudhuri, L Guibas… - ACM Transactions on …, 2014 - dl.acm.org
As 3D acquisition devices and modeling tools become widely available there is a growing
need for automatic algorithms that analyze the semantics and functionality of digitized …

Data-driven shape analysis and processing

K Xu, VG Kim, Q Huang, N Mitra… - SIGGRAPH ASIA 2016 …, 2016 - dl.acm.org
Data-driven methods serve an increasingly important role in discovering geometric,
structural, and semantic relationships between shapes. In contrast to traditional approaches …

Surface regions of interest for viewpoint selection

G Leifman, E Shtrom, A Tal - IEEE transactions on pattern …, 2016 - ieeexplore.ieee.org
While the detection of the interesting regions in images has been extensively studied,
relatively few papers have addressed surfaces. This paper proposes an algorithm for …

Sequential line search for efficient visual design optimization by crowds

Y Koyama, I Sato, D Sakamoto, T Igarashi - ACM Transactions on …, 2017 - dl.acm.org
Parameter tweaking is a common task in various design scenarios. For example, in color
enhancement of photographs, designers tweak multiple parameters such as" brightness" …

Gait: Generating aesthetic indoor tours with deep reinforcement learning

D Xie, P Hu, X Sun, S Pirk, J Zhang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Placing and orienting a camera to compose aesthetically meaningful shots of a scene is not
only a key objective in real-world photography and cinematography but also for virtual …

A no-reference metric for evaluating the quality of motion deblurring

Y Liu, J Wang, S Cho, A Finkelstein… - ACM Transactions on …, 2013 - oar.princeton.edu
Methods to undo the effects of motion blur are the subject of intense research, but evaluating
and tuning these algorithms has traditionally required either user input or the availability of …

Textured mesh quality assessment: Large-scale dataset and deep learning-based quality metric

Y Nehmé, J Delanoy, F Dupont, JP Farrugia… - ACM Transactions on …, 2023 - dl.acm.org
Over the past decade, three-dimensional (3D) graphics have become highly detailed to
mimic the real world, exploding their size and complexity. Certain applications and device …