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cs.CV2024
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation
Yiran Wang, Min Shi, Jiaqi Li +7
Video depth estimation aims to infer temporally consistent depth. One approach is to finetune a single-image model on each video with geometry constraints, which proves inefficient…
cs.CV2024
Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators
Haitian Zheng, Zhe Lin, Jingwan Lu +8
Structure-guided image completion aims to inpaint a local region of an image according to an input guidance map from users. While such a task enables many practical applications fo…
cs.CV2024
Towards Domain-agnostic Depth Completion
Guangkai Xu, Wei Yin, Jianming Zhang +4
Existing depth completion methods are often targeted at a specific sparse depth type and generalize poorly across task domains. We present a method to complete sparse/semi-dense, n…