2 papers
cs.CV2025
DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data
Ruiqi Wu, Xinjie Wang, Liu Liu +6
We present DIPO, a novel framework for the controllable generation of articulated 3D objects from a pair of images: one depicting the object in a resting state and the other in an…
cs.CV2025
MS-NeRF: Multi-Space Neural Radiance Fields
Ze-Xin Yin, Peng-Yi Jiao, Jiaxiong Qiu +2
Existing Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single ra…