60 citations · 147 across the 11 of their papers we have counts for
13 papers
LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization
Avisek Lahiri, Vivek Kwatra, Christian Frueh +2
In this paper, we present a video-based learning framework for animating personalized 3D talking faces from audio. We introduce two training-time data normalizations that significa…
Lightweight Modules for Efficient Deep Learning based Image Restoration
Avisek Lahiri, Sourav Bairagya, Sutanu Bera +2
Low level image restoration is an integral component of modern artificial intelligence (AI) driven camera pipelines. Most of these frameworks are based on deep neural networks whic…
The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors
Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas
Contemporary deep learning based inpainting algorithms are mainly based on a hybrid dual stage training policy of supervised reconstruction loss followed by an unsupervised adversa…
Faster Unsupervised Semantic Inpainting: A GAN Based Approach
Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla +1
In this paper, we propose to improve the inference speed and visual quality of contemporary baseline of Generative Adversarial Networks (GAN) based unsupervised semantic inpainting…
A lightweight convolutional neural network for image denoising with fine details preservation capability
Sutanu Bera, Avisek Lahiri, Prabir Kumar Biswas
Image denoising is a fundamental problem in image processing whose primary objective is to remove the noise while preserving the original image structure. In this work, we proposed…
Improved Techniques for GAN based Facial Inpainting
Avisek Lahiri, Arnav Jain, Divyasri Nadendla +1
In this paper we present several architectural and optimization recipes for generative adversarial network(GAN) based facial semantic inpainting. Current benchmark models are susce…