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cs.CV2026

BLANC: Adaptive Temporal Scheduling for Sign Language Production

Youngmin Kim, Seoyeong Hwang, Sujung Hong +1

Sign language production (SLP) aims to synthesize expressive signing motion from written text. Modeling signing motion presents two key temporal challenges. First, fine-grained han…

cs.CV2026

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…

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.CV2026

CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation

Seonghyun Jin, Youngmin Kim, Sunwoo Park +1

Video world models should predict future appearance in a way that remains consistent with 3D scene structure, camera motion, and lens geometry. Existing attention-level camera enco…

cs.CV2026

ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting

Yeonkyung Lee, Dayun Ju, Youngmin Kim +2

Recent advancements in Video Large Language Models (VideoLLMs) have enabled strong performance across diverse multimodal video tasks. To reduce the high computational cost of proce…