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Home/Authors/Or Patashnik

Or Patashnik

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 8:46 PM AMS

12

papers

4,052

total citations

papers (12)

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement

Localizing Object-Level Shape Variations with Text-to-Image Diffusion Models

ReNoise: Real Image Inversion Through Iterative Noising

Noise-free Score Distillation

Stable Flow: Vital Layers for Training-Free Image Editing

LCM-Lookahead for Encoder-based Text-to-Image Personalization

CLiC: Concept Learning in Context

Omni-ID: Holistic Identity Representation Designed for Generative Tasks

Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation