activity
20172023
most citedSeeThrough: Finding Chairs in Heavily Occluded Indoor Scene Images

10 citations · 12 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SD2023

AudioSlots: A slot-centric generative model for audio separation

Pradyumna Reddy, Scott Wisdom, Klaus Greff +2

In a range of recent works, object-centric architectures have been shown to be suitable for unsupervised scene decomposition in the vision domain. Inspired by these methods we pres…

cs.CV2022★ 1 cited

Search for Concepts: Discovering Visual Concepts Using Direct Optimization

Pradyumna Reddy, Paul Guerrero, Niloy J. Mitra

Finding an unsupervised decomposition of an image into individual objects is a key step to leverage compositionality and to perform symbolic reasoning. Traditionally, this problem…

cs.CV2021

A Multi-Implicit Neural Representation for Fonts

Pradyumna Reddy, Zhifei Zhang, Matthew Fisher +3

Fonts are ubiquitous across documents and come in a variety of styles. They are either represented in a native vector format or rasterized to produce fixed resolution images. In th…

cs.CV2021★ 1 cited

Im2Vec: Synthesizing Vector Graphics without Vector Supervision

Pradyumna Reddy, Michael Gharbi, Michal Lukac +1

Vector graphics are widely used to represent fonts, logos, digital artworks, and graphic designs. But, while a vast body of work has focused on generative algorithms for raster ima…

cs.CV2020

Discovering Pattern Structure Using Differentiable Compositing

Pradyumna Reddy, Paul Guerrero, Matt Fisher +2

Patterns, which are collections of elements arranged in regular or near-regular arrangements, are an important graphic art form and widely used due to their elegant simplicity and…

cs.CV2017★ 10 cited

SeeThrough: Finding Chairs in Heavily Occluded Indoor Scene Images

Moos Hueting, Pradyumna Reddy, Vladimir Kim +3

Discovering 3D arrangements of objects from single indoor images is important given its many applications including interior design, content creation, etc. Although heavily researc…