A non-photorealistic rendering technique is a method to show various effects different from those of realistic image generation.Of the various techniques,flow-based image abstraction displays the shape and color featu...A non-photorealistic rendering technique is a method to show various effects different from those of realistic image generation.Of the various techniques,flow-based image abstraction displays the shape and color features well and performs a stylistic visual abstraction.But real-time rendering is impossible when CPU is used because it applies various filtering and iteration methods.In this paper,we present real-time processing methods of video abstraction using open open computing language(OpenCL),technique of general-purpose computing on graphics processing units(GPGPU).Through the acceleration of general-purpose computing(GPU),16 frame-per-second(FPS)or greater is shown to process video abstraction.展开更多
基于异构计算概念,使用GPU和Open CL加速了一个高复杂度的自适应图像去马赛克算法,并在AMD Bald Eagle和Fire Pro W8100组成的异构计算平台上完成了功能和性能测试。实验结果表明,该异构平台能取得良好的图像重建效果,W8100处理图像的...基于异构计算概念,使用GPU和Open CL加速了一个高复杂度的自适应图像去马赛克算法,并在AMD Bald Eagle和Fire Pro W8100组成的异构计算平台上完成了功能和性能测试。实验结果表明,该异构平台能取得良好的图像重建效果,W8100处理图像的速率超过了100 f/s,每帧图像有1 920×1 080个像素,证明异构计算平台及Open CL可满足医疗、网络监控等应用领域对高帧率、高清图像影像的需求。展开更多
A computer vision approach through Open AI’s CLIP, a model capable of predicting text-image pairs, is used to create an AI agent for Dixit, a game which requires creative linking between images and text. This paper c...A computer vision approach through Open AI’s CLIP, a model capable of predicting text-image pairs, is used to create an AI agent for Dixit, a game which requires creative linking between images and text. This paper calculates baseline accuracies for both the ability to match the correct image to a hint and the ability to match up with human preferences. A dataset created by previous work on Dixit is used for testing. CLIP is utilized through the comparison of a hint to multiple images, and previous hints, achieving a final accuracy of 0.5011 which surpasses previous results.展开更多
文摘A non-photorealistic rendering technique is a method to show various effects different from those of realistic image generation.Of the various techniques,flow-based image abstraction displays the shape and color features well and performs a stylistic visual abstraction.But real-time rendering is impossible when CPU is used because it applies various filtering and iteration methods.In this paper,we present real-time processing methods of video abstraction using open open computing language(OpenCL),technique of general-purpose computing on graphics processing units(GPGPU).Through the acceleration of general-purpose computing(GPU),16 frame-per-second(FPS)or greater is shown to process video abstraction.
文摘基于异构计算概念,使用GPU和Open CL加速了一个高复杂度的自适应图像去马赛克算法,并在AMD Bald Eagle和Fire Pro W8100组成的异构计算平台上完成了功能和性能测试。实验结果表明,该异构平台能取得良好的图像重建效果,W8100处理图像的速率超过了100 f/s,每帧图像有1 920×1 080个像素,证明异构计算平台及Open CL可满足医疗、网络监控等应用领域对高帧率、高清图像影像的需求。
文摘A computer vision approach through Open AI’s CLIP, a model capable of predicting text-image pairs, is used to create an AI agent for Dixit, a game which requires creative linking between images and text. This paper calculates baseline accuracies for both the ability to match the correct image to a hint and the ability to match up with human preferences. A dataset created by previous work on Dixit is used for testing. CLIP is utilized through the comparison of a hint to multiple images, and previous hints, achieving a final accuracy of 0.5011 which surpasses previous results.
