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20162023
most citedDrag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

205 citations · 1.4k across the 106 of their papers we have counts for

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Showing 2020 · cs.CVShow all

26 papers · 2 filters

cs.CV2020

High-Fidelity Neural Human Motion Transfer from Monocular Video

Moritz Kappel, Vladislav Golyanik, Mohamed Elgharib +5

Video-based human motion transfer creates video animations of humans following a source motion. Current methods show remarkable results for tightly-clad subjects. However, the lack…

cs.CV2020

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video

Edgar Tretschk, Ayush Tewari, Vladislav Golyanik +3

We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes RGB images of a d…

cs.CV2020

EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream

Viktor Rudnev, Vladislav Golyanik, Jiayi Wang +4

3D hand pose estimation from monocular videos is a long-standing and challenging problem, which is now seeing a strong upturn. In this work, we address it for the first time using…

cs.CV2020★ 6 cited

Monocular Real-time Full Body Capture with Inter-part Correlations

Yuxiao Zhou, Marc Habermann, Ikhsanul Habibie +3

We present the first method for real-time full body capture that estimates shape and motion of body and hands together with a dynamic 3D face model from a single color image. Our a…

cs.CV2020

Pose-Guided Human Animation from a Single Image in the Wild

Jae Shin Yoon, Lingjie Liu, Vladislav Golyanik +3

We present a new pose transfer method for synthesizing a human animation from a single image of a person controlled by a sequence of body poses. Existing pose transfer methods exhi…

cs.CV2020★ 1 cited

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

Tarun Yenamandra, Ayush Tewari, Florian Bernard +4

We present the first deep implicit 3D morphable model (i3DMM) of full heads. Unlike earlier morphable face models it not only captures identity-specific geometry, texture, and expr…