Roy Ganz

According to our database, Roy Ganz authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Text-to-Image Generation Via Energy-Based CLIP.

Roy Ganz, Michael Elad

CoRR, 2024

Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness.

Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld

CoRR, 2024

Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination.

Shelly Golan, Roy Ganz, Michael Elad

CoRR, 2024

Paint by Inpaint: Learning to Add Image Objects by Removing Them First.

Navve Wasserman, Noam Rotstein, Roy Ganz, Ron Kimmel

CoRR, 2024

FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions.

Noam Rotstein, David Bensaïd, Shaked Brody, Roy Ganz, Ron Kimmel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CLIPAG: Towards Generator-Free Text-to-Image Generation.

Roy Ganz, Michael Elad

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Question Aware Vision Transformer for Multimodal Reasoning.

Roy Ganz, Yair Kittenplon, Aviad Aberdam, Elad Ben-Avraham, Oren Nuriel, Shai Mazor, Ron Litman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GRAM: Global Reasoning for Multi-Page VQA.

Tsachi Blau, Sharon Fogel, Roi Ronen, Alona Golts, Shahar Tsiper, Elad Ben-Avraham, Aviad Aberdam, Roy Ganz, Ron Litman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance.

Bahjat Kawar, Roy Ganz, Michael Elad

Trans. Mach. Learn. Res., 2023

BIGRoC: Boosting Image Generation via a Robust Classifier.

Roy Ganz, Michael Elad

Trans. Mach. Learn. Res., 2023

FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions.

Noam Rotstein, David Bensaïd, Shaked Brody, Roy Ganz, Ron Kimmel

CoRR, 2023

Classifier Robustness Enhancement Via Test-Time Transformation.

Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alexander M. Bronstein

CoRR, 2023

Do Perceptually Aligned Gradients Imply Robustness?

Roy Ganz, Bahjat Kawar, Michael Elad

Proceedings of the International Conference on Machine Learning, 2023

Towards Models that Can See and Read.

Roy Ganz, Oren Nuriel, Aviad Aberdam, Yair Kittenplon, Shai Mazor, Ron Litman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIPTER: Looking at the Bigger Picture in Scene Text Recognition.

Aviad Aberdam, David Bensaïd, Alona Golts, Roy Ganz, Oren Nuriel, Royee Tichauer, Shai Mazor, Ron Litman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Do Perceptually Aligned Gradients Imply Adversarial Robustness?

Roy Ganz, Bahjat Kawar, Michael Elad

CoRR, 2022

Threat Model-Agnostic Adversarial Defense using Diffusion Models.

Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex M. Bronstein, Michael Elad

CoRR, 2022

Multimodal Semi-Supervised Learning for Text Recognition.

Aviad Aberdam, Roy Ganz, Shai Mazor, Ron Litman

CoRR, 2022

2021

Improved Image Generation via Sparse Modeling.

Roy Ganz, Michael Elad

CoRR, 2021