Visualising Generative Spaces Using Convolutional Neural Network Embeddings

31 October 2022

Papers citing "Visualising Generative Spaces Using Convolutional Neural Network Embeddings"

8 / 8 papers shown

Title
Exploring Minecraft Settlement Generators with Generative Shift Analysis Jean-Baptiste Hervé Oliver Withington Marion Hervé L. Tokarchuk Christoph Salge 4 1 0 11 Sep 2023
The Right Variety: Improving Expressive Range Analysis with Metric Selection Methods Oliver Withington L. Tokarchuk 15 6 0 05 Apr 2023
Compressing and Comparing the Generative Spaces of Procedural Content Generators Oliver Withington L. Tokarchuk 25 4 0 30 May 2022
Tile Embedding: A General Representation for Procedural Level Generation via Machine Learning Mrunal Jadhav Matthew J. Guzdial AI4TS 9 10 0 07 Oct 2021
Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions Alberto Alvarez S. Dahlskog J. Font Julian Togelius 59 31 0 06 Mar 2020
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network Vanessa Volz Jacob Schrum Jialin Liu Simon Lucas Adam M. Smith S. Risi GAN 65 229 0 02 May 2018
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,190 0 07 Oct 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014