Name: Ziya Erkoc
Position: Ph.D Candidate
E-Mail: ziya.erkoc@tum.de
Phone: TBD
Room No: 02.07.041

Bio

Hi, my name is Ziya. I received my BSc and MSc in Computer Engineering degrees from Bilkent University, Turkey. I've previously worked on memory-efficient tetrahedral mesh generation. During my bachelor's years, I participated in Google Summer of Code as a contributor to the cBioPortal for Cancer Genomics tool. In addition, I worked at Taleworlds Entertainment as a software engineering intern. Homepage

Research Interest

3D Reconstruction, Generative Modelling, Geometry Processing, Geometric Deep Learning

Publications

2023
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai
ICCV 2023
We propose HyperDiffusion, a novel approach for unconditional generative modeling of implicit neural fields. HyperDiffusion operates directly on MLP weights and generates new neural implicit fields encoded by synthesized MLP parameters. It enables diffusion modeling over a implicit, compact, and yet high-fidelity representation of complex signals across 3D shapes and 4D mesh animations within one single unified framework.
[video][bibtex][project page]