Author

Jiwon Kang

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Preprint Oct 2026

Can Learning to Answer Spatial Questions Improve Novel-View Generation?

This work introduces Ask4NV, a pretrained unified multimodal model with a Mixture-of-Transformers (MoT) architecture that incorporates camera geometry into both VAE and ViT representations and leverages understanding features during generation through joint self-attention with a modality-aware attention masking strateg...

Jahyeok Koo, Hyeonseo Yu, Seung-Ho Jang et al. · 0 citations

Preprint Jul 2026

Transferability Between Understanding and Generation in Unified Multimodal Models

This work empirically finds that transferability depends on architecture-models with fully shared transformer backbone and a unified visual encoder exhibit consistent cross-task transfer, while loosely coupled designs show little or none.

Jiwon Kang, Heeji Yoon, Jaewoo Jung et al. · 1 citation