15 citations · 24 across the 4 of their papers we have counts for
4 papers · 1 filter
Learning Continuous Depth Representation via Geometric Spatial Aggregator
Xiaohang Wang, Xuanhong Chen, Bingbing Ni +2
Depth map super-resolution (DSR) has been a fundamental task for 3D computer vision. While arbitrary scale DSR is a more realistic setting in this scenario, previous approaches pre…
Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive Sampling
Zhengyan Tong, Xiaohang Wang, Shengchao Yuan +3
This paper proposes a novel stroke-based rendering (SBR) method that translates images into vivid oil paintings. Previous SBR techniques usually formulate the oil painting problem…
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
Zhengyan Tong, Xuanhong Chen, Bingbing Ni +1
We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process. Existing pencil sketch algorithm…
RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
Xuanhong Chen, Kairui Feng, Naiyuan Liu +4
AI-for-science approaches have been applied to solve scientific problems (e.g., nuclear fusion, ecology, genomics, meteorology) and have achieved highly promising results. Spatial…