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Stephen DiVerdi

5 accepted papers

2025

MaDCoW: Marginal Distortion Correction for Wide-Angle Photography with Arbitrary Objects

CVPR 2025poster

We introduce MaDCoW, a method for correcting marginal distortion of arbitrary objects in wide-angle photography. People often use wide-angle photography to convey natural scenes--smartphones typically default to wide-angle photography--but depicting very wide-field-of-view scenes produces distorted…

Cited by 0SourcePDFScholar
2020

Texture Hallucination for Large-Factor Painting Super-Resolution

ECCV 2020poster

We aim to super-resolve digital paintings, synthesizing realistic details from high-resolution reference painting materials for very large scaling factors (g 8$ imes$, 16$ imes$). However, previous single image super-resolution (SISR) methods would either lose textural details or introduce unpleasin…

Cited by 29SourcePDFScholar
2018

Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models

AISTATS 2018poster

Professional-grade software applications are powerful but complicated – expert users can achieve impressive results, but novices often struggle to complete even basic tasks. Photo editing is a prime example: after loading a photo, the user is confronted with an array of cryptic sliders like "clarity…

Cited by 0SourcePDFScholar
2016

Cute: A concatenative method for voice conversion using exemplar-based unit selection

ICASSP 2016accepted

State-of-the art voice conversion methods re-synthesize voice from spectral representations such as MFCCs and STRAIGHT, thereby introducing muffled artifacts. We propose a method that circumvents this concern using concatenative synthesis coupled with exemplar-based unit selection. Given parallel sp…

Cited by 0SourceScholar