activity
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

collaborators
Showing 2018 · cs.CVShow all

12 papers · 2 filters

cs.CV2018★ 179 cited

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

David Bau, Jun-Yan Zhu, Hendrik Strobelt +4

Generative Adversarial Networks (GANs) have recently achieved impressive results for many real-world applications, and many GAN variants have emerged with improvements in sample qu…

cs.CV2018★ 2 cited

Physical Primitive Decomposition

Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum +1

Objects are made of parts, each with distinct geometry, physics, functionality, and affordances. Developing such a distributed, physical, interpretable representation of objects wi…

cs.CV2018★ 12 cited

Learning Shape Priors for Single-View 3D Completion and Reconstruction

Jiajun Wu, Chengkai Zhang, Xiuming Zhang +3

The problem of single-view 3D shape completion or reconstruction is challenging, because among the many possible shapes that explain an observation, most are implausible and do not…

cs.CV2018★ 1 cited

Seeing Tree Structure from Vibration

Tianfan Xue, Jiajun Wu, Zhoutong Zhang +3

Humans recognize object structure from both their appearance and motion; often, motion helps to resolve ambiguities in object structure that arise when we observe object appearance…

cs.CV2018★ 43 cited

Medical Image Imputation from Image Collections

Adrian V. Dalca, Katherine L. Bouman, William T. Freeman +3

We present an algorithm for creating high resolution anatomically plausible images consistent with acquired clinical brain MRI scans with large inter-slice spacing. Although large…

cs.CV2018★ 8 cited

3D Shape Perception from Monocular Vision, Touch, and Shape Priors

Shaoxiong Wang, Jiajun Wu, Xingyuan Sun +4

Perceiving accurate 3D object shape is important for robots to interact with the physical world. Current research along this direction has been primarily relying on visual observat…