activity
20192024
most citedLite2Relight: 3D-aware Single Image Portrait Relighting

13 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202413 cited

Lite2Relight: 3D-aware Single Image Portrait Relighting

Pramod Rao, Gereon Fox, Abhimitra Meka +8

Achieving photorealistic 3D view synthesis and relighting of human portraits is pivotal for advancing AR/VR applications. Existing methodologies in portrait relighting demonstrate…

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.CV20231 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.CV20232 cited

HQ3DAvatar: High Quality Controllable 3D Head Avatar

Kartik Teotia, Mallikarjun B R, Xingang Pan +4

Multi-view volumetric rendering techniques have recently shown great potential in modeling and synthesizing high-quality head avatars. A common approach to capture full head dynami…

cs.CV20197 cited

EgoFace: Egocentric Face Performance Capture and Videorealistic Reenactment

Mohamed Elgharib, Mallikarjun BR, Ayush Tewari +4

Face performance capture and reenactment techniques use multiple cameras and sensors, positioned at a distance from the face or mounted on heavy wearable devices. This limits their…