Peter Wonka
Biography
My main area of research is in two areas :
*) Generative models. My group is working with diffusion models, variational autoencoders, generative adversarial networks, auto-regressive models, and flow models.
Example subtopics are the modeling of CAD models using auto-regressive models with transformer, modeling floorplans using auto-regressive models, editing images and videos using GANs, style transfer using GANs, domain transfer using GANs, and modeling roofs. Recently we looked at 3D and 4D modeling using diffusion.
*) 3D Reconstruction. We are also working on single image depth estimation using CONV nets / transforer / ... and NERF-style reconstruction. There is also a connection of NERF reconstruction and 3D GANs we are exploring. More recently we also used Gaussian Splatting.
Almost all of my group is working on problems using deep learning.
*) Generative models. My group is working with diffusion models, variational autoencoders, generative adversarial networks, auto-regressive models, and flow models.
Example subtopics are the modeling of CAD models using auto-regressive models with transformer, modeling floorplans using auto-regressive models, editing images and videos using GANs, style transfer using GANs, domain transfer using GANs, and modeling roofs. Recently we looked at 3D and 4D modeling using diffusion.
*) 3D Reconstruction. We are also working on single image depth estimation using CONV nets / transforer / ... and NERF-style reconstruction. There is also a connection of NERF reconstruction and 3D GANs we are exploring. More recently we also used Gaussian Splatting.
Almost all of my group is working on problems using deep learning.
Presentations
