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20092023
most citedLearning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

1.6k citations · 4.9k across the 61 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

cs.CV2019★ 14 cited

Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization

Miika Aittala, Prafull Sharma, Lukas Murmann +4

We recover a video of the motion taking place in a hidden scene by observing changes in indirect illumination in a nearby uncalibrated visible region. We solve this problem by fact…

cs.CV2019★ 4 cited

Program-Guided Image Manipulators

Jiayuan Mao, Xiuming Zhang, Yikai Li +3

Humans are capable of building holistic representations for images at various levels, from local objects, to pairwise relations, to global structures. The interpretation of structu…

cs.CV2019

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions

Guha Balakrishnan, Adrian V. Dalca, Amy Zhao +3

We introduce visual deprojection: the task of recovering an image or video that has been collapsed along a dimension. Projections arise in various contexts, such as long-exposure p…

cs.CV2019★ 34 cited

Boundless: Generative Adversarial Networks for Image Extension

Piotr Teterwak, Aaron Sarna, Dilip Krishnan +4

Image extension models have broad applications in image editing, computational photography and computer graphics. While image inpainting has been extensively studied in the literat…

cs.CV2019

Speech2Face: Learning the Face Behind a Voice

Tae-Hyun Oh, Tali Dekel, Changil Kim +4

How much can we infer about a person's looks from the way they speak? In this paper, we study the task of reconstructing a facial image of a person from a short audio recording of…

cs.CV2019★ 2 cited

Learning the Depths of Moving People by Watching Frozen People

Zhengqi Li, Tali Dekel, Forrester Cole +4

We present a method for predicting dense depth in scenarios where both a monocular camera and people in the scene are freely moving. Existing methods for recovering depth for dynam…