Results 51 to 60 of about 4,305,606 (328)

Perception Driven Texture Generation

, 2017
This paper investigates a novel task of generating texture images from perceptual descriptions. Previous work on texture generation focused on either synthesis from examples or generation from procedural models.
Chi, Huifang, Dong, Junyu, Gan, Yanhai, Gao, Ying, Liu, Jun, Zhong, Guoqiang   +5 more
core   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

A constructive approach for the generation of underwater environments [PDF]

, 2015
This paper introduces Coralize, a library of generators for marine organisms such as corals and sponges. Using constructive algorithms, Coralize can generate stony corals via L-system grammars, soft corals via leaf venation algorithms and sponges via
Abela, Ryan, Liapis, Antonios, Sixth FDG Workshop on Procedural Content Generation in Games (PCG 2015), Yannakakis, Georgios N.   +3 more
core  

Generative Design in Minecraft (GDMC), Settlement Generation Competition

, 2018
This paper introduces the settlement generation competition for Minecraft, the first part of the Generative Design in Minecraft challenge. The settlement generation competition is about creating Artificial Intelligence (AI) agents that can produce ...
Aluru Krishna, Cardona-Rivera Rogelio Enrique, Colton Simon, Friberger M Gustafsson, Kelly George, Liapis Antonios, Liapis Antonios, McCormack Jon, Rossignol Jim, Shaker Noor, Smith Anthony J   +10 more
core   +1 more source

Learning the Designer's Preferences to Drive Evolution

, 2020
This paper presents the Designer Preference Model, a data-driven solution that pursues to learn from user generated data in a Quality-Diversity Mixed-Initiative Co-Creativity (QD MI-CC) tool, with the aims of modelling the user's design style to better ...
A Liapis, A Liapis, A Liapis, A Summerville, C Stanton, G Smith, GN Yannakakis, J Lehman, JK Pugh, N Shaker, SO Kimbrough   +10 more
core   +1 more source

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel, Patricia Pastura, Joshua P. Scallan, Timothy D. Le Cras   +3 more
wiley   +1 more source

Ecologically Sound Procedural Generation of Natural Environments

International Journal of Computer Games Technology, 2017
Current techniques for the creation and exploration of virtual worlds are largely unable to generate sound natural environments from ecological data and to provide interactive web-based visualizations of such detailed environments.
Benny Onrust, Rafael Bidarra, Robert Rooseboom, Johan van de Koppel   +3 more
doaj   +1 more source

SceneX: Procedural Controllable Large-Scale Scene Generation

AAAI Conference on Artificial Intelligence
Developing comprehensive explicit world models is crucial for understanding and simulating real-world scenarios. Recently, Procedural Controllable Generation (PCG) has gained significant attention in large-scale scene generation by enabling the creation ...
Mengqi Zhou, Yuxi Wang, Jun Hou, Shougao Zhang, Yiwei Li, Chuanchen Luo, Junran Peng, Zhaoxiang Zhang   +7 more
semanticscholar   +1 more source

Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration [PDF]

Artificial Intelligence and Interactive Digital Entertainment Conference
Procedural Content Generation (PCG) is defined as the automatic creation of game content using algorithms. PCG has a long history in both the game industry and the academic world.
Mahdi Maleki, Richard Zhao
semanticscholar   +1 more source

gMotion: A spatio-temporal grammar for the procedural generation of motion graphics [PDF]

, 2018
Creating by hand compelling 2D animations that choreograph several groups of shapes requires a large number of manual edits. We present a method to procedurally generate motion graphics with timeslice grammars.
Carra, Edoardo, Pellacini, Fabio, Santoni, Christian   +2 more
core