Aryan Garg

For the summer of '24, I'm interning at the Computational Behaviour Lab directed by Prof. Antti Oulasvirta at Aalto University. I'm fortunate to have close support from Dr. Yue Jiang and Aini Putkonen.

Last, I was a Bosch AI Research Fellow at the computational imaging lab directed by Prof. Kaushik Mitra at the Indian Institute of Technology, Madras.

In a past life, I finished my Bachelor's in Computer Science at the Indian Institute of Technology, Mandi, where I was advised by Prof. Renu Rameshan. During my junior year, I had the privilege of being advised by Prof. Jean-François Lalonde and Dr. Yannick Hold-Geoffroy while spending a summer at Université Laval in the beautiful Quebec City ⚜️.

Apart from research, I enjoy reading 📚, traveling ✈️, competing in endurance sports 🚴‍♂️, and trekking 🏔️. My previous (8th) trek was Sandakphu-Phalut in the Himalayas overlooking the majestic sleeping Buddha.

Email  /  CV  /  Scholar  /  Github

Research

My primary interests revolve around deep generative modeling to solve ill-posed problems in vision and graphics. In my off time, you can find me on a side-quest 🗡️ pushing core machine learning research forward.

Unconditional face generation at the speed and size of DCGAN using a relatively tiny training dataset (~4000). Convergence and higher fidelity over StyleGAN are achieved using a spectrally normalized discriminator and a tiny generator within 20 minutes on a commercial, free cloud GPU.

Synthetic dataset generation and sinusoidal activations lead to a winning solution over the final displacement error.

SkyNet for user-controlled generation of skies incorporating the versatility of parametric models and realism from deep generative networks.

DeepSky: Learning to generate photorealistic skies per user-controlled positioning of solar and atmospheric components

Website template was shamelessly stolen from Jon Barron.