Akhmedkhan (Ahan) Shabanov

Hi! I am a PhD student at the GrUVi lab of SFU advised by Andrea Tagliasacchi in a beautiful Vancouver. I work on 3D computer vision.

Previously, I was a research engineer (founding team member) at Avaturn (ex. In3D) working with Dmitry Ulyanov on 3D human body and face reconstruction from in-the-wild images. Even before that, I received my BSc and MSc degrees from Moscow Institute of Physics and Technology in applied mathematics and physics.

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News

March 2024: Our paper on BANF has been accepted to CVPR 2024!
Summer 2023: I’ll be visiting BIRS workshop on 3D Generative Models in Banff, Canada.
Jan 2023: I’m starting my PhD (in-person)!
Summer 2022: I’ll be visiting summer school (ICVSS) in Sicily, Italy.
November 2020: We’ll be presenting our work on HQ2LQ at 3DV 2020 (unfortunately, remotely).

BANF: Band-limited Neural Fields for Levels of Detail Reconstruction

Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

CVPR 2024

We explore how a simple modification to neural fields enables low-pass filtering, facilitating improved frequency decomposition which is crucial for level-of-detail reconstruction.

Project Page arXiv Code

Lagrangian Hashing for Compressed Neural Field Representations

Shrisudhan Govindarajan, Zeno Sambugaro, Ahan Shabanov, Towaki Takikawa, Weiwei Sun, Daniel Rebain, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi

ECCV 2024

A representation for neural fields combining the characteristics of Eulerian grids (i.e.~InstantNGP), with those that employ points equipped with features as a way to represent information (e.g. 3D Gaussian Splatting or PointNeRF).

Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors

Ahan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov

3DV, 2020

Denoising iPhone's depth images by using Kinect depth sensor

Project Page arXiv