1 citations · 1 across the 3 of their papers we have counts for
5 papers
LatentColorization: Latent Diffusion-Based Speaker Video Colorization
Rory Ward, Dan Bigioi, Shubhajit Basak +2
While current research predominantly focuses on image-based colorization, the domain of video-based colorization remains relatively unexplored. Most existing video colorization tec…
A lightweight 3D dense facial landmark estimation model from position map data
Shubhajit Basak, Sathish Mangapuram, Gabriel Costache +2
The incorporation of 3D data in facial analysis tasks has gained popularity in recent years. Though it provides a more accurate and detailed representation of the human face, accru…
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Michał Stypułkowski +4
Taking inspiration from recent developments in visual generative tasks using diffusion models, we propose a method for end-to-end speech-driven video editing using a denoising diff…
Methodology for Building Synthetic Datasets with Virtual Humans
Shubhajit Basak, Hossein Javidnia, Faisal Khan +2
Recent advances in deep learning methods have increased the performance of face detection and recognition systems. The accuracy of these models relies on the range of variation pro…
High-Accuracy Facial Depth Models derived from 3D Synthetic Data
Faisal Khan, Shubhajit Basak, Hossein Javidnia +2
In this paper, we explore how synthetically generated 3D face models can be used to construct a high accuracy ground truth for depth. This allows us to train the Convolutional Neur…