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cs.CV2025
DEJIMA: A Novel Large-scale Japanese Dataset for Image Captioning and Visual Question Answering
Toshiki Katsube, Taiga Fukuhara, Kenichiro Ando +3
This work addresses the scarcity of high-quality, large-scale resources for Japanese Vision-and-Language (V&L) modeling. We present a scalable and reproducible pipeline that integr…
cs.CV2024
Style-NeRF2NeRF: 3D Style Transfer From Style-Aligned Multi-View Images
Haruo Fujiwara, Yusuke Mukuta, Tatsuya Harada
We propose a simple yet effective pipeline for stylizing a 3D scene, harnessing the power of 2D image diffusion models. Given a NeRF model reconstructed from a set of multi-view im…