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 2020 · cs.CVShow all

6 papers · 2 filters

cs.CV2020

Layered Neural Rendering for Retiming People in Video

Erika Lu, Forrester Cole, Tali Dekel +5

We present a method for retiming people in an ordinary, natural video -- manipulating and editing the time in which different motions of individuals in the video occur. We can temp…

cs.CV2020

Neural Descent for Visual 3D Human Pose and Shape

Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir +3

We present deep neural network methodology to reconstruct the 3d pose and shape of people, given an input RGB image. We rely on a recently introduced, expressivefull body statistic…

cs.CV2020★ 81 cited

Neural Light Transport for Relighting and View Synthesis

Xiuming Zhang, Sean Fanello, Yun-Ta Tsai +10

The light transport (LT) of a scene describes how it appears under different lighting and viewing directions, and complete knowledge of a scene's LT enables the synthesis of novel…

cs.CV2020★ 1 cited

Perspective Plane Program Induction from a Single Image

Yikai Li, Jiayuan Mao, Xiuming Zhang +3

We study the inverse graphics problem of inferring a holistic representation for natural images. Given an input image, our goal is to induce a neuro-symbolic, program-like represen…

cs.CV2020

SpeedNet: Learning the Speediness in Videos

Sagie Benaim, Ariel Ephrat, Oran Lang +5

We wish to automatically predict the "speediness" of moving objects in videos---whether they move faster, at, or slower than their "natural" speed. The core component in our approa…

cs.CV2020

Semantic Pyramid for Image Generation

Assaf Shocher, Yossi Gandelsman, Inbar Mosseri +4

We present a novel GAN-based model that utilizes the space of deep features learned by a pre-trained classification model. Inspired by classical image pyramid representations, we c…