From the 1 of 5 linked papers with an AI index.
5 papers
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…
QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers
Kyobin Choo, Youngmin Kim, Hyunkyung Han +4
Video diffusion transformers (DiTs) generate high-fidelity and temporally coherent videos, yet motion control remains implicit, primarily relying on text prompts. As a result, achi…
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…
Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration
Kyobin Choo, Hyunkyung Han, Jinyeong Kim +2
In clinical practice, imaging modalities with functional characteristics, such as positron emission tomography (PET) and fractional anisotropy (FA), are often aligned with a struct…
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…