activity
20152026
most citedDISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

236 citations · 604 across the 49 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.GR2018

Learning a Shared Shape Space for Multimodal Garment Design

Tuanfeng Y. Wang, Duygu Ceylan, Jovan Popovic +1

Designing real and virtual garments is becoming extremely demanding with rapidly changing fashion trends and increasing need for synthesizing realistic dressed digital humans for v…

cs.GR2018★ 48 cited

iMapper: Interaction-guided Joint Scene and Human Motion Mapping from Monocular Videos

Aron Monszpart, Paul Guerrero, Duygu Ceylan +2

A long-standing challenge in scene analysis is the recovery of scene arrangements under moderate to heavy occlusion, directly from monocular video. While the problem remains a subj…

cs.CV2018★ 15 cited

PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

Chen Liu, Jimei Yang, Duygu Ceylan +2

This paper proposes a deep neural network (DNN) for piece-wise planar depthmap reconstruction from a single RGB image. While DNNs have brought remarkable progress to single-image d…

cs.CV2018

Neural Kinematic Networks for Unsupervised Motion Retargetting

Ruben Villegas, Jimei Yang, Duygu Ceylan +1

We propose a recurrent neural network architecture with a Forward Kinematics layer and cycle consistency based adversarial training objective for unsupervised motion retargetting.…

cs.CV2018★ 64 cited

BodyNet: Volumetric Inference of 3D Human Body Shapes

Gül Varol, Duygu Ceylan, Bryan Russell +4

Human shape estimation is an important task for video editing, animation and fashion industry. Predicting 3D human body shape from natural images, however, is highly challenging du…