Jiashu Yang — accepted AI-conference papers

2025

EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images

Wangbo Yu, Chaoran Feng, Jianing Li, Jiye Tang, Jiashu Yang, Zhenyu Tang +5

ICCV 2025poster

3D Gaussian Splatting (3D-GS) has demonstrated exceptional capabilities in synthesizing novel views of 3D scenes. However, its training is heavily reliant on high-quality images and precise camera poses. Meeting these criteria can be challenging in non-ideal real-world conditions, where motion-blurr…

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2025

Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian Splatting

Yian Zhao, Rushi Ye, Ruochong Zheng, Zesen Cheng, Chaoran Feng, Jiashu Yang +3

ICCV 2025poster

3D style transfer refers to the artistic stylization of 3D assets based on reference style images. Recently, 3DGS-based stylization methods have drawn considerable attention, primarily due to their markedly enhanced training and rendering speeds. However, a vital challenge for 3D style transfer is t…

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