387 citations · 429 across the 7 of their papers we have counts for
7 papers
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…
SimSwap: An Efficient Framework For High Fidelity Face Swapping
Renwang Chen, Xuanhong Chen, Bingbing Ni +1
We propose an efficient framework, called Simple Swap (SimSwap), aiming for generalized and high fidelity face swapping. In contrast to previous approaches that either lack the abi…
X-volution: On the unification of convolution and self-attention
Xuanhong Chen, Hang Wang, Bingbing Ni
Convolution and self-attention are acting as two fundamental building blocks in deep neural networks, where the former extracts local image features in a linear way while the latte…
Image Translation via Fine-grained Knowledge Transfer
Xuanhong Chen, Ziang Liu, Ting Qiu +4
Prevailing image-translation frameworks mostly seek to process images via the end-to-end style, which has achieved convincing results. Nonetheless, these methods lack interpretabil…
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…