xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. - Idan Kligvasser; Tamar Rott Shaham; Tomer Michaeli (CVPR, 2018)

Dense xUnit Networks. - Idan Kligvasser; Tomer Michaeli (CoRR, 2018)

Sparsity Aware Normalization for GANs. - Idan Kligvasser; Tomer Michaeli (AAAI, 2021)

Deep Self-Dissimilarities as Powerful Visual Fingerprints. - Idan Kligvasser; Tamar Rott Shaham; Yuval Bahat; Tomer Michaeli (NeurIPS, 2021)

BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning. - Idan Kligvasser; Tamar Rott Shaham; Noa Alkobi; Tomer Michaeli (CoRR, 2022)

Semi-supervised Quality Evaluation of Colonoscopy Procedures. - Idan Kligvasser; George Leifman; Roman Goldenberg; Ehud Rivlin; Michael Elad (ICCV (Workshops), 2023)

Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. - George Leifman; Idan Kligvasser; Roman Goldenberg; Ehud Rivlin; Michael Elad (CaPTion@MICCAI, 2023)

Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models. - Regev Cohen; Idan Kligvasser; Ehud Rivlin; Daniel Freedman (NeurIPS, 2024)

Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models. - Omer Belhasin; Idan Kligvasser; George Leifman; Regev Cohen; Erin Rainaldi; Li-Fang Cheng; Nishant Verma; Paul Varghese; Ehud Rivlin; Michael Elad (CoRR, 2024)

Anchored Diffusion for Video Face Reenactment. - Idan Kligvasser; Regev Cohen; George Leifman; Ehud Rivlin; Michael Elad (WACV, 2025)