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Found 3 papers, 3 papers with code
Knowledge NeRF: Few-shot Novel View Synthesis for Dynamic Articulated Objects
To clearly reconstruct dynamic scenes, we propose a new framework by considering two frames at a time. We pretrain a NeRF model for an articulated object. When articulated objects moves, Knowledge NeRF learns to generate novel views at the new state by incorporating past knowledge in the pretrained NeRF model with minimal observations in the present state.
Object-level Geometric Structure Preserving for Natural Image Stitching
Current methodologies exhibit the ability to preserve local geometric structures, yet fall short in maintaining relationships between these geometric structures.
VDD: Varied Drone Dataset for Semantic Segmentation
We expect that our dataset will generate considerable interest in drone image segmentation and serve as a foundation for other drone vision tasks.
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