GEMLAB

Welcome to GEnerative Modeling (GEM) Lab, led by Dr. Pinar Yanardag at Virginia Tech, Department of Computer Science.

Pre-prints

  1. Pre-print
    RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
    Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, and Pinar Yanardag
    Pre-print (Pre-print) , 2023
  2. Pre-print
    NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
    Yusuf Dalva, and Pinar Yanardag
    Pre-print (Pre-print) , 2023
  3. Pre-print
    CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models
    Tuna Han Salih Meral, Enis Simsar, Federico Tombari, and Pinar Yanardag
    Pre-print (Pre-print) , 2023

Publications

  1. WACV
    Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs
    Enis Simsar, Umut Kocasari, Ezgi Gulperi Er, and Pinar Yanardag
    Winter Conference on Applications of Computer Vision (WACV) , 2023
  2. WACV
    Text and Image Guided 3D Avatar Generation and Manipulation
    Zehranaz Canfes*, Furkan Atasoy*, Alara Dirik*, and Pinar Yanardag
    Winter Conference on Applications of Computer Vision (WACV) , 2023
  3. ECCV
    FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
    Cemre Efe Karakas*, Alara Dirik*, Eylul Yalcinkaya, and Pinar Yanardag
    European Conference on Computer Vision (ECCV) , 2022
  4. CVPR Workshop
    PaintInStyle: One-Shot Discovery of Interpretable Directions by Painting
    Berkay Doner*, Elif Sema Balcioglu*, Merve Rabia Barin*, Umut Kocasari, Mert Tiftikci, and Pinar Yanardag
    Conference on Computer Vision and Pattern Recognition (CVPR Workshop) , 2022
  5. CVPR Workshop
    Rank in Style: A Ranking-based Approach to Find Interpretable Directions
    Umut Kocasari, Kerem Zaman, Mert Tiftikci, Enis Simsar, and Pinar Yanardag
    Conference on Computer Vision and Pattern Recognition (CVPR Workshop) , 2022
  6. ACM CC
    MIDISpace: Finding Linear Directions in Latent Space for Music Generation (Honorable Mention Award)
    Meliksah Turker, Alara Dirik, and Pinar Yanardag
    ACM Creativity & Cognition (ACM CC) , 2022
  7. WACV
    StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation
    Umut Kocasari, Alara Dirik, Mert Tiftikci, and Pinar Yanardag
    Winter Conference on Applications of Computer Vision (WACV) , 2022
  8. ICCV
    LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions
    Oguz Kaan Yuksel*, Enis Simsar*, Ezgi Gulperi Er, and Pinar Yanardag
    International Conference on Computer Vision (ICCV) , 2021
  9. ICCV Workshop
    Graph2Pix: A Graph-Based Image to Image Translation Framework (Full Paper)
    Dilara Gokay*, Enis Simsar*, Efehan Atici, Atif Emre Yilmaz, Alper Ahmetoglu, and Pinar Yanardag
    Advances of Image Manipulation (ICCV Workshop) , 2021
  10. NeurIPS Workshop
    Controlled Cue Generation for Play Scripts (Best Paper Award)
    Alara Dirik*, Hilal Donmez*, and Pinar Yanardag
    Controllable Generative Modeling in Language and Vision (NeurIPS Workshop) , 2021
  11. NeurIPS Workshop
    Exploring Latent Dimensions of Crowd-sourced Creativity
    Umut Kocasari*, Alperen Bag*, Efehan Atici, and Pinar Yanardag
    Machine Learning for Creativity and Design (NeurIPS Workshop) , 2021

News

Aug 8, 2022 One paper is accepted to ECCV’22, two papers are accepted to WACV’23!
Jun 28, 2022 Midispace received Honorable Mention Award at ACM Creativity & Cognition Conference! :trophy:
Jan 28, 2022 CATLAB undergraduate researchers Cemre and Eylul won the best senior thesis award! :sparkles:
Dec 13, 2021 Controlled Cue Generation for Play Scripts is selected as the Best Paper at CTRLGen Workshop at NeurIPS’21! :trophy:
Aug 22, 2021 One paper is accepted to ICCV, and one paper is accepted to WACV!

Team

Principal Investigator: Dr. Pinar Yanardag
Current PhD Students: Tuna Han Salih Meral, Yusuf Dalva, Kiymet Akdemir, Hidir Yesiltepe
Alumi: Enis Simsar (now at ETH), Oguz Kaan Yuksel (now at EPFL), Dilara Gokay (now at DeepMind), Alara Dirik (now at Imperial College London), Umut Kocasari (now at TUM), Kerem Zaman (now at UNC Chapel Hill), Mert Yuksekgonul (now at Stanford), Zehranaz Canfes (now at TUM), Furkan Atasoy (now at TUM), Berkay Doner (now at EPFL), Elif Sema Balcioglu (now at EPFL), Eylul Yalcinkaya (now at Facebook), Cemre Efe Karakas (now at Amazon), Merve Rabia Barin (now at Koc), Ezgi Gulperi Er (now at Goldman Sachs).

Acknowledgements

We would like to acknowledge GCP research credits from Google. This website is using al-folio theme.