activity
20222026
most citedTowards Realistic Generative 3D Face Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

PackUV: Packed Gaussian UV Maps for 4D Volumetric Video

Aashish Rai, Angela Xing, Anushka Agarwal +5

Volumetric videos offer immersive 4D experiences, but remain difficult to reconstruct, store, and stream at scale. Existing Gaussian Splatting based methods achieve high-quality re…

cs.CV2025

UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping

Aashish Rai, Dilin Wang, Mihir Jain +4

3D Gaussian Splatting (3DGS) has demonstrated superior quality in modeling 3D objects and scenes. However, generating 3DGS remains challenging due to their discrete, unstructured,…

cs.CV2024

EgoSonics: Generating Synchronized Audio for Silent Egocentric Videos

Aashish Rai, Srinath Sridhar

We introduce EgoSonics, a method to generate semantically meaningful and synchronized audio tracks conditioned on silent egocentric videos. Generating audio for silent egocentric v…

cs.CV2023★ 1 cited

Towards Realistic Generative 3D Face Models

Aashish Rai, Hiresh Gupta, Ayush Pandey +6

In recent years, there has been significant progress in 2D generative face models fueled by applications such as animation, synthetic data generation, and digital avatars. However,…

cs.CV2022

Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance

Fariborz Taherkhani, Aashish Rai, Quankai Gao +6

3D face modeling has been an active area of research in computer vision and computer graphics, fueling applications ranging from facial expression transfer in virtual avatars to sy…