activity
20202023
most citedPIE: Portrait Image Embedding for Semantic Control

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars

Mohit Mendiratta, Xingang Pan, Mohamed Elgharib +6

Capturing and editing full head performances enables the creation of virtual characters with various applications such as extended reality and media production. The past few years…

cs.CV2023★ 1 cited

GVP: Generative Volumetric Primitives

Mallikarjun B R, Xingang Pan, Mohamed Elgharib +1

Advances in 3D-aware generative models have pushed the boundary of image synthesis with explicit camera control. To achieve high-resolution image synthesis, several attempts have b…

cs.CV2022★ 1 cited

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction

Edith Tretschk, Navami Kairanda, Mallikarjun B R +7

3D reconstruction of deformable (or non-rigid) scenes from a set of monocular 2D image observations is a long-standing and actively researched area of computer vision and graphics.…

cs.CV2020

Learning Complete 3D Morphable Face Models from Images and Videos

Mallikarjun B R, Ayush Tewari, Hans-Peter Seidel +2

Most 3D face reconstruction methods rely on 3D morphable models, which disentangle the space of facial deformations into identity geometry, expressions and skin reflectance. These…

cs.CV2020★ 2 cited

PIE: Portrait Image Embedding for Semantic Control

Ayush Tewari, Mohamed Elgharib, Mallikarjun B R. +5

Editing of portrait images is a very popular and important research topic with a large variety of applications. For ease of use, control should be provided via a semantically meani…