SIGGRAPH
Collection
Accepted papers for SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques), one dataset per year. • 13 items • Updated
title stringlengths 14 134 | paper_url stringlengths 39 39 | authors listlengths 1 10 | abstract large_stringlengths 657 2.45k | track stringclasses 1
value | doi stringlengths 23 23 | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
values | embedding listlengths 768 768 |
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An advection-reflection solver for detail-preserving fluid simulation | https://doi.org/10.1145/3197517.3201324 | [
"Jonas Zehnder",
"Rahul Narain",
"Bernhard Thomaszewski"
] | Advection-projection methods for fluid animation are widely appreciated for their stability and efficiency. However, the projection step dissipates energy from the system, leading to artificial viscosity and suppression of small-scale details. We propose an alternative approach for detail-preserving fluid animation tha... | journal | 10.1145/3197517.3201324 | null | null | [
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Learning symmetric and low-energy locomotion | https://doi.org/10.1145/3197517.3201397 | [
"Wenhao Yu",
"Greg Turk",
"C. Karen Liu"
] | Learning locomotion skills is a challenging problem. To generate realistic and smooth locomotion, existing methods use motion capture, finite state machines or morphology-specific knowledge to guide the motion generation algorithms. Deep reinforcement learning (DRL) is a promising approach for the automatic creation of... | journal | 10.1145/3197517.3201397 | 1801.08093 | title_snapshot | [
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Rapid deployment of curved surfaces via programmable auxetics | https://doi.org/10.1145/3197517.3201373 | [
"Mina Konaković-Luković",
"Julian Panetta",
"Keenan Crane",
"Mark Pauly"
] | Deployable structures are physical mechanisms that can easily transition between two or more geometric configurations; such structures enable industrial, scientific, and consumer applications at a wide variety of scales. This paper develops novel deployable structures that can approximate a large class of doubly-curved... | journal | 10.1145/3197517.3201373 | null | null | [
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Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning | https://doi.org/10.1145/3197517.3201315 | [
"Libin Liu",
"Jessica Hodgins"
] | Basketball is one of the world's most popular sports because of the agility and speed demonstrated by the players. This agility and speed makes designing controllers to realize robust control of basketball skills a challenge for physics-based character animation. The highly dynamic behaviors and precise manipulation of... | journal | 10.1145/3197517.3201315 | null | null | [
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A material point method for thin shells with frictional contact | https://doi.org/10.1145/3197517.3201346 | [
"Qi Guo",
"Xuchen Han",
"Chuyuan Fu",
"Theodore Gast",
"Rasmus Tamstorf",
"Joseph Teran"
] | We present a novel method for simulation of thin shells with frictional contact using a combination of the Material Point Method (MPM) and subdivision finite elements. The shell kinematics are assumed to follow a continuum shell model which is decomposed into a Kirchhoff-Love motion that rotates the mid-surface normals... | journal | 10.1145/3197517.3201346 | null | null | [
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Bayesian online regression for adaptive direct illumination sampling | https://doi.org/10.1145/3197517.3201340 | [
"Petr Vévoda",
"Ivo Kondapaneni",
"Jaroslav Křivánek"
] | Direct illumination calculation is an important component of any physically-based Tenderer with a substantial impact on the overall performance. We present a novel adaptive solution for unbiased Monte Carlo direct illumination sampling, based on online learning of the light selection probability distributions. Our main... | journal | 10.1145/3197517.3201340 | null | null | [
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Deep context-aware descreening and rescreening of halftone images | https://doi.org/10.1145/3197517.3201377 | [
"Tae-Hoon Kim",
"Sang Il Park"
] | A fully automatic method for descreening halftone images is presented based on convolutional neural networks with end-to-end learning. Incorporating context level information, the proposed method not only removes halftone artifacts but also synthesizes the fine details lost during halftone. The method consists of two m... | journal | 10.1145/3197517.3201377 | null | null | [
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Point convolutional neural networks by extension operators | https://doi.org/10.1145/3197517.3201301 | [
"Matan Atzmon",
"Haggai Maron",
"Yaron Lipman"
] | This paper presents Point Convolutional Neural Networks (PCNN): a novel framework for applying convolutional neural networks to point clouds. The framework consists of two operators: extension and restriction, mapping point cloud functions to volumetric functions and vise-versa. A point cloud convolution is defined by ... | journal | 10.1145/3197517.3201301 | 1803.10091 | title_snapshot | [
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Visemenet: audio-driven animator-centric speech animation | https://doi.org/10.1145/3197517.3201292 | [
"Yang Zhou",
"Zhan Xu",
"Chris Landreth",
"Evangelos Kalogerakis",
"Subhransu Maji",
"Karan Singh"
] | We present a novel deep-learning based approach to producing animator-centric speech motion curves that drive a JALI or standard FACS-based production face-rig, directly from input audio. Our three-stage Long Short-Term Memory (LSTM) network architecture is motivated by psycho-linguistic insights: segmenting speech aud... | journal | 10.1145/3197517.3201292 | 1805.09488 | title_snapshot | [
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Single-photon 3D imaging with deep sensor fusion | https://doi.org/10.1145/3197517.3201316 | [
"David B. Lindell",
"Matthew O'Toole",
"Gordon Wetzstein"
] | Sensors which capture 3D scene information provide useful data for tasks in vehicle navigation, gesture recognition, human pose estimation, and geometric reconstruction. Active illumination time-of-flight sensors in particular have become widely used to estimate a 3D representation of a scene. However, the maximum rang... | journal | 10.1145/3197517.3201316 | null | null | [
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Perception-aware modeling and fabrication of digital drawing tools | https://doi.org/10.1145/3197517.3201322 | [
"Michal Piovarči",
"David I. W. Levin",
"Danny M. Kaufman",
"Piotr Didyk"
] | Digital drawing is becoming a favorite technique for many artists. It allows for quick swaps between different materials, reverting changes, and applying selective modifications to finished artwork. These features enable artists to be more efficient and creative. A significant disadvantage of digital drawing is poor ha... | journal | 10.1145/3197517.3201322 | null | null | [
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