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cs.CV2024
3D Gaussian Editing with A Single Image
Guan Luo, Tian-Xing Xu, Ying-Tian Liu +3
The modeling and manipulation of 3D scenes captured from the real world are pivotal in various applications, attracting growing research interest. While previous works on editing h…
cs.CV2024
MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation
Yue-Jiang Dong, Fang-Lue Zhang, Song-Hai Zhang
Depth perception is crucial for a wide range of robotic applications. Multi-frame self-supervised depth estimation methods have gained research interest due to their ability to lev…
cs.CV2024
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu +2
Self-supervised monocular depth estimation is of significant importance with applications spanning across autonomous driving and robotics. However, the reliance on self-supervision…