5 citations · 5 across the 1 of their papers we have counts for
3 papers
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…
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network
Avisek Lahiri, Arnav Jain, Prabir Kumar Biswas +1
Contemporary benchmark methods for image inpainting are based on deep generative models and specifically leverage adversarial loss for yielding realistic reconstructions. However,…