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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 2022Show all

5 papers · 1 filter

cs.CV2022

Can Shadows Reveal Biometric Information?

Safa C. Medin, Amir Weiss, Frédo Durand +2

We study the problem of extracting biometric information of individuals by looking at shadows of objects cast on diffuse surfaces. We show that the biometric information leakage fr…

cs.CV2022★ 8 cited

Neural Groundplans: Persistent Neural Scene Representations from a Single Image

Prafull Sharma, Ayush Tewari, Yilun Du +7

We present a method to map 2D image observations of a scene to a persistent 3D scene representation, enabling novel view synthesis and disentangled representation of the movable an…

cs.CV2022★ 115 cited

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Mark Hamilton, Zhoutong Zhang, Bharath Hariharan +2

Unsupervised semantic segmentation aims to discover and localize semantically meaningful categories within image corpora without any form of annotation. To solve this task, algorit…

cs.CV2022★ 1 cited

Disentangling Architecture and Training for Optical Flow

Deqing Sun, Charles Herrmann, Fitsum Reda +3

How important are training details and datasets to recent optical flow models like RAFT? And do they generalize? To explore these questions, rather than develop a new model, we rev…

cs.CV2022★ 3 cited

MaskGIT: Masked Generative Image Transformer

Huiwen Chang, Han Zhang, Lu Jiang +2

Generative transformers have experienced rapid popularity growth in the computer vision community in synthesizing high-fidelity and high-resolution images. The best generative tran…