Dani Lischinski

Hebrew University of Jerusalem — Israel

Computer Science · Physical Sciences

69h-index23.2kcitations227works2.82yr avg
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Research Topics

Computer Graphics and Visualization Techniques(73), Advanced Vision and Imaging(60), Generative Adversarial Networks and Image Synthesis(53), Image Enhancement Techniques(35), 3D Shape Modeling and Analysis(30)

Publications227 total

DiffTex: Differentiable Texturing for Architectural Proxy Models
ACM Transactions on Graphics·2025Open Access
DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion
arXiv (Cornell University)·2025Open Access
Story2Board: A Training-Free Approach for Expressive Storyboard Generation
arXiv (Cornell University)·2025Open Access
EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits
arXiv (Cornell University)·2025Open Access
Stable Flow: Vital Layers for Training-Free Image Editing
2025· 2 cited
EmoEdit: Evoking Emotions through Image Manipulation
2025· 1 cited
Creative Blends of Visual Concepts
2025· 2 cited
Click2Mask: Local Editing with Dynamic Mask Generation
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Task-Specific Adaptation with Restricted Model Access
arXiv (Cornell University)·2025Open Access
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
2025
EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits
2025Open Access
DiffUHaul: A Training-Free Method for Object Dragging in Images
2024· 7 citedOpen Access
Stable Flow: Vital Layers for Training-Free Image Editing
arXiv (Cornell University)·2024· 1 citedOpen Access
Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment
Lecture notes in computer science·2024· 3 cited
Click2Mask: Local Editing with Dynamic Mask Generation
arXiv (Cornell University)·2024Open Access
Seed-to-Seed: Image Translation in Diffusion Seed Space
arXiv (Cornell University)·2024Open Access
CLIP-Flow: Decoding images encoded in CLIP space
Computational Visual Media·2024· 3 citedOpen Access
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
2024· 19 citedOpen Access
Generating Non-Stationary Textures Using Self-Rectification
2024· 6 cited
DiffUHaul: A Training-Free Method for Object Dragging in Images
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Daniel Cohen‐Or(18), Johannes Kopf(7), Anat Levin(6), Raanan Fattal(5), Richard Szeliski(5), Matt Uyttendaele(5), Oliver Deußen(5), Baoquan Chen(5), Zeev Farbman(4), David Salesin(4), Omri Avrahami(4), Ohad Fried(4), Michael Werman(3), Eli Shechtman(3), Chi‐Wing Fu(3), Yangyan Li(3), Changhe Tu(3), Hui Huang(3), Kfir Aberman(3), Yaakov Weiss(2)