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20242026
most citedDirect Unlearning Optimization for Robust and Safe Text-to-Image Models

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2026

Grounding World Simulation Models in a Real-World Metropolis

Junyoung Seo, Hyunwook Choi, Minkyung Kwon +10

What if a world simulation model could render not an imagined environment but a city that actually exists? Prior generative world models synthesize visually plausible yet artificia…

cs.CV2025

Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction

Gayoung Lee, Junho Kim, Jin-Hwa Kim +1

Understanding reflection remains a long-standing challenge in 3D reconstruction due to the entanglement of appearance and geometry under view-dependent reflections. In this work, w…

cs.CV2025

Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation

Min-Seop Kwak, Junho Kim, Sangdoo Yun +4

We introduce a diffusion-based framework that performs aligned novel view image and geometry generation via a warping-and-inpainting methodology. Unlike prior methods that require…

cs.CV2024

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization

Geonhui Jang, Jin-Hwa Kim, Yong-Hyun Park +3

Text-to-image (T2I) models can effectively capture the content or style of reference images to perform high-quality customization. A representative technique for this is fine-tunin…

cs.CV2024★ 1 cited

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models

Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim +5

Recent advancements in text-to-image (T2I) models have unlocked a wide range of applications but also present significant risks, particularly in their potential to generate unsafe…