2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting
Hao Liu, Minglin Chen, Yanni Ma +2
Pre-training on large-scale unlabeled datasets contribute to the model achieving powerful performance on 3D vision tasks, especially when annotations are limited. However, existing…
cs.CV2024★ 2 cited
Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation
Minglin Chen, Weihao Yuan, Yukun Wang +5
Recently, text-to-3D approaches have achieved high-fidelity 3D content generation using text description. However, the generated objects are stochastic and lack fine-grained contro…
cs.CV2022★ 1 cited
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints
Zi Wang, Minglin Chen, Yulan Guo +2
Recently, unsupervised domain adaptation in satellite pose estimation has gained increasing attention, aiming at alleviating the annotation cost for training deep models. To this e…