Semantic Image Matting
1개 벤치마크 · 논문 6편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Deep Image Matting
Semantic Image Matting
Natural Image Matting via Guided Contextual Attention
Indices Matter: Learning to Index for Deep Image Matting
Papers
Semantic Image Matting
Natural image matting separates the foreground from background in fractional occupancy which can be caused by highly transparent objects, complex foreground (e.g., net or tree), and/or objects containing very fine detail…
Image MattingSemantic Image MattingTransparent objectsAlphaNet: An Attention Guided Deep Network for Automatic Image Matting
In this paper, we propose an end to end solution for image matting i.e high-precision extraction of foreground objects from natural images. Image matting and background detection can be achieved easily through chroma key…
Image MattingSegmentationSemantic Image MattingSemantic SegmentationNatural Image Matting via Guided Contextual Attention
Over the last few years, deep learning based approaches have achieved outstanding improvements in natural image matting. Many of these methods can generate visually plausible alpha estimations, but typically yield blurry…
Image MattingSemantic Image MattingTransparent objectsIndices Matter: Learning to Index for Deep Image Matting
We show that existing upsampling operators can be unified with the notion of the index function. This notion is inspired by an observation in the decoding process of deep image matting where indices-guided unpooling can …
DecoderImage MattingSemantic Image MattingInstance Segmentation based Semantic Matting for Compositing Applications
Image compositing is a key step in film making and image editing that aims to segment a foreground object and combine it with a new background. Automatic image compositing can be done easily in a studio using chroma-keyi…
Image MattingInstance SegmentationSemantic Image MattingSemantic SegmentationDeep Image Matting
Image matting is a fundamental computer vision problem and has many applications. Previous algorithms have poor performance when an image has similar foreground and background colors or complicated textures. The main rea…
DecoderImage MattingSemantic Image Matting