315 citations · 955 across the 38 of their papers we have counts for
4 papers · 2 filters
Neuro-Symbolic Generative Art: A Preliminary Study
Gunjan Aggarwal, Devi Parikh
There are two classes of generative art approaches: neural, where a deep model is trained to generate samples from a data distribution, and symbolic or algorithmic, where an artist…
Feel The Music: Automatically Generating A Dance For An Input Song
Purva Tendulkar, Abhishek Das, Aniruddha Kembhavi +1
We present a general computational approach that enables a machine to generate a dance for any input music. We encode intuitive, flexible heuristics for what a 'good' dance is: the…
Exploring Crowd Co-creation Scenarios for Sketches
Devi Parikh, C. Lawrence Zitnick
As a first step towards studying the ability of human crowds and machines to effectively co-create, we explore several human-only collaborative co-creation scenarios. The goal in e…
Predicting A Creator's Preferences In, and From, Interactive Generative Art
Devi Parikh
As a lay user creates an art piece using an interactive generative art tool, what, if anything, do the choices they make tell us about them and their preferences? These preferences…