Who am I?

Hello! I’m Eren Çetin, a Master’s student at ETH Zürich specializing in signal processing, machine learning, and computer vision. Currently, I am conducting my Master’s thesis at Disney Research Studios, focusing on generative video compression using video diffusion models and implicit neural representations (INRs).

My research broadly lies at the intersection of 3D vision, neural rendering, and generative models, aiming to build scalable and efficient 3D and video representation systems. I previously worked on generalizable 3D reconstruction from sparse views and compression of 3D Gaussian splatting representations.

I completed my Bachelor’s degrees in Electrical & Electronics Engineering and Economics at Koç University, graduating as salutatorian. My professional interests include 3D vision, 3D reconstruction, neural rendering, video compression, and deep generative modeling.

I primarily work with Python, PyTorch, CUDA, C/C++, and TypeScript, and enjoy bridging theory with large-scale implementations and visualization.

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