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From the 1 of 5 linked papers with an AI index.

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20242026
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5 papers

cs.CV2026

Controlling Motion Transfer in Diffusion Transformers via Attention Heads

Sunyoung Jung, Jiwoo Park, Yoonseok Choi +3

The paper studies how individual attention heads in diffusion transformer models handle motion and spatial structure, and introduces a head-aware method to control motion transfer…

cs.CV2026

Towards Continuous Sign Language Conversation from Isolated Signs

Youngmin Kim, Kyobin Choo, Jiwoo Park +4

Sign language is the primary language for many Deaf and Hard-of-Hearing (DHH) signers, yet most conversational AI systems still mediate interaction through spoken or written langua…

cs.CV2025

Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models

Jinyeong Kim, Seil Kang, Jiwoo Park +2

Large Vision-Language Models (LVLMs) answer visual questions by transferring information from images to text through a series of attention heads. While this image-to-text informati…

cs.CV2025

WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image

Jiwoo Park, Tae Eun Choi, Youngjun Jun +1

Generating high-quality novel views of a scene from a single image requires maintaining structural coherence across different views, referred to as view consistency. While diffusio…

cs.LG2024

Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models

Youngjun Jun, Jiwoo Park, Kyobin Choo +2

Disentangled representation learning (DRL) aims to break down observed data into core intrinsic factors for a profound understanding of the data. In real-world scenarios, manually…