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19932023
most citedWeak Coupling Phase Diagram of the Two Chain Hubbard Model

348 citations · 1.4k across the 34 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021

Neural Strokes: Stylized Line Drawing of 3D Shapes

Difan Liu, Matthew Fisher, Aaron Hertzmann +1

This paper introduces a model for producing stylized line drawings from 3D shapes. The model takes a 3D shape and a viewpoint as input, and outputs a drawing with textured strokes,…

cs.CV2021

Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition

James Hong, Matthew Fisher, Michaël Gharbi +1

Human pose is a useful feature for fine-grained sports action understanding. However, pose estimators are often unreliable when run on sports video due to domain shift and factors…

cs.CV2021

Font Completion and Manipulation by Cycling Between Multi-Modality Representations

Ye Yuan, Wuyang Chen, Zhaowen Wang +4

Generating font glyphs of consistent style from one or a few reference glyphs, i.e., font completion, is an important task in topographical design. As the problem is more well-defi…

cs.CV2021

GLASS: Geometric Latent Augmentation for Shape Spaces

Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman +3

We investigate the problem of training generative models on a very sparse collection of 3D models. We use geometrically motivated energies to augment and thus boost a sparse collec…

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

MarioNette: Self-Supervised Sprite Learning

Dmitriy Smirnov, Michael Gharbi, Matthew Fisher +3

Artists and video game designers often construct 2D animations using libraries of sprites -- textured patches of objects and characters. We propose a deep learning approach that de…

cs.CV2021

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing

Tobias Hinz, Matthew Fisher, Oliver Wang +2

We introduce CharacterGAN, a generative model that can be trained on only a few samples (8 - 15) of a given character. Our model generates novel poses based on keypoint locations,…