most citedHyperCLOVA X Technical Report

7 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset

Changhyun Roh, Yonghyun Jeong, Jonghyun Lee +2

Synthesizing a target concept from a single reference image is challenging in diffusion-based personalized text-to-image generation, particularly for sticker personalization where…

cs.CV2024

Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics

Hyojin Kim, Jiyoon Lee, Yonghyun Jeong +2

This paper presents a novel perspective for enhancing anti-spoofing performance in zero-shot data domain generalization. Unlike traditional image classification tasks, face anti-sp…

cs.CL20247 cited

HyperCLOVA X Technical Report

Kang Min Yoo, Jaegeun Han, Sookyo In +393

We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. H…

cs.CV2024

One-Shot Structure-Aware Stylized Image Synthesis

Hansam Cho, Jonghyun Lee, Seunggyu Chang +1

While GAN-based models have been successful in image stylization tasks, they often struggle with structure preservation while stylizing a wide range of input images. Recently, diff…

cs.CV20241 cited

Noise Map Guidance: Inversion with Spatial Context for Real Image Editing

Hansam Cho, Jonghyun Lee, Seoung Bum Kim +2

Text-guided diffusion models have become a popular tool in image synthesis, known for producing high-quality and diverse images. However, their application to editing real images o…

cs.CV20241 cited

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Jonghyun Lee, Hansam Cho, Youngjoon Yoo +2

Addressing the limitations of text as a source of accurate layout representation in text-conditional diffusion models, many works incorporate additional signals to condition certai…