• <tr id='gb8PxA'><strong id='gb8PxA'></strong><small id='gb8PxA'></small><button id='gb8PxA'></button><li id='gb8PxA'><noscript id='gb8PxA'><big id='gb8PxA'></big><dt id='gb8PxA'></dt></noscript></li></tr><ol id='gb8PxA'><option id='gb8PxA'><table id='gb8PxA'><blockquote id='gb8PxA'><tbody id='gb8PxA'></tbody></blockquote></table></option></ol><u id='gb8PxA'></u><kbd id='gb8PxA'><kbd id='gb8PxA'></kbd></kbd>

    <code id='gb8PxA'><strong id='gb8PxA'></strong></code>

    <fieldset id='gb8PxA'></fieldset>
          <span id='gb8PxA'></span>

              <ins id='gb8PxA'></ins>
              <acronym id='gb8PxA'><em id='gb8PxA'></em><td id='gb8PxA'><div id='gb8PxA'></div></td></acronym><address id='gb8PxA'><big id='gb8PxA'><big id='gb8PxA'></big><legend id='gb8PxA'></legend></big></address>

              <i id='gb8PxA'><div id='gb8PxA'><ins id='gb8PxA'></ins></div></i>
              <i id='gb8PxA'></i>
            1. <dl id='gb8PxA'></dl>
              1. <blockquote id='gb8PxA'><q id='gb8PxA'><noscript id='gb8PxA'></noscript><dt id='gb8PxA'></dt></q></blockquote><noframes id='gb8PxA'><i id='gb8PxA'></i>
                歡迎光臨中國圖象圖形∏學學會官方網站,讓我們一起¤努力,探索圖象圖形領域的廣袤天地!
                首頁 > 學會動態 > 活動預告

                CSIG圖像圖形技術國際在線研討會第四期將於4月29日舉辦

                2022-04-22

                 繪制(Rendering)是計算▓機圖形學的主要研究方向之一,它的目標是在虛擬世界中逼真呈現物理世界,是影視動色狼尾巴开始露出来了吧漫、交互遊戲、元宇宙等應用領域的基↘礎性、支撐性技而李冰清与李玉洁術。

                圍繞這一主千叶蛇哈哈大笑題,彩票app下载官方(CSIG)將連續舉辦兩期CSIG圖像圖形技術國際在線研討會(第四期和游览了富士山第五期)。兩次研討會將邀請來自美國和中國4位國際知名學者來介紹繪制領域的最新心平气和研究成果,並圍繞該領域當下挑戰及未來趨勢開展討論。第四期研討會的主題是真川谨渲子说道實感繪制(Photorealistic Rendering),將於2022年4月29日(周五)09:30-11:10舉辦,會議嘉賓包括美國UC Santa Barbara大學的閆令琪教授和美國UC Irvine大學的趙爽教授。

                期待學術與工業界同行〓的積極參與!

                 

                主辦單位:彩票app下载官方(CSIG)

                承辦單位:CSIG國際合作與交流工作委員會、智能圖形專委會

                會議時間:2022年4月29日(周五)9:30-11:10

                會議直播:

                或長按以朱俊州紧跟其后也走了出去下二維碼進入

                11.png 


                會議日程

                微信截圖_20220421110413.png


                講者簡介

                2.jpg

                Ling-Qi Yan

                UC Santa Barbara

                    Dr. Lingqi Yan is an Assistant Professor at UC Santa Barbara. He obtained his Ph.D. degree at UC Berkeley in 2018 and his Bachelor's degree at Tsinghua University in 2013. His research is rendering in Computer Graphics, mainly aimed at creating photo-realistic visual appearance at real-world complexity, and building theoretical foundations mathematically, physically and statistically to reveal the principles of the visual world. Dr. Yan has opened up a new research area of detailed appearance modeling to the rendering community, and was the only recipient of the 2019 SIGGRAPH Outstanding Doctoral Dissertation Award. Dr. Yan's work has also stimulated the invention of real-time ray tracing, and has been adopted by video games, 3D modeling software and the Oskar-nominated movies "War for the planet of the apes" and "the lion king (HD)".

                    Talk title: Towards Photorealistic Rendering: A Personal Perspective

                    Abstract: With the rapid advancement of rendering in computer graphics, people nowadays expect "stunning graphics" everywhere, from video games and virtual reality to animations and movies. And we have every reason to believe that the bar of aesthetics will be raised even higher -- we are getting closer to the age when computer generated imagery (CGI) has to be as realistic as real photos (a.k.a. "photorealistic").

                    However, the pace of improvement in rendered realism seems to be slowed down in recent years. Today's CGI can still be immediately told apart from the real world, just like what it was several years ago. Why photorealism is so difficult? Are there still fundamental issues that haven't been solved yet, preventing rendering from getting photorealistic?

                    In this talk, I will tentatively present my understanding of the difficulties towards photorealistic rendering, and provide tentative solutions based on recent work in my research group. I will focus on challenges and opportunities in two important aspects: appearance modeling and light transport. Meanwhile, I will discuss how (classic) mathematics and (modern) neural networks contribute to both aspects. Finally, I will provide open problems in rendering that are of interest to the academia and the industry.


                3.jpg

                Shuang Zhao

                UC Irvine

                    I am an Assistant Professor of Computer Science at the University of California, Irvine (UCI) and co-direct UCI's Interactive Graphics & Visualization Lab (iGravi). Before joining UCI, I was a postdoctoral associate at MIT. I received my Ph.D. in computer science from Cornell University in 2014.

                    My group works mainly in physics-based computer graphics and scientific computing with a focus on modeling and simulating how light interacts with complex materials (e.g., cloth, animal fur, and human skin). Additionally, we aim to develop efficient solutions to the inverse problems centered around the inference of geometric or material properties from physical or simulated measurements.

                    We draw inspirations from applied physics and computational statistics to develop new techniques for applications in computer graphics & vision, industrial design, material science & engineering, and biomedicine.

                    Talk title: Physics-based differentiable rendering

                    Abstract: Physics-based rendering algorithms generate photorealistic images by simulating the flow of light through a detailed mathematical representation of a virtual scene. In contrast, physics-based differentiable rendering algorithms compute derivatives of images exhibiting complex light transport effects (e.g., soft shadows, interreflections, multiple scattering, and caustics) with respect to arbitrary scene parameters (e.g., camera pose, object geometry, spatially-varying material properties).

                    This new level of generality has made physics-based differentiable rendering a key ingredient in inferential pipelines for computer vision and computer graphics applications. For example, differentiable renderers can be used to solve previously intractable analysis-by-synthesis problems, that is, the search of scene configurations optimizing user-specified objective functions, using gradient-based methods (as illustrated above). Additionally, differentiable rendering can be incorporated into probabilistic inference and machine learning architecture. For example, differentiable renderers allow backpropagating through “image losses” that capture complex light transport effects, providing a robust physics-aware regularization when training neural networks. Likewise, differentiable renderers can be combined with generative models to synthesize photorealistic images.

                    Compared to its “ordinary” counterpart, physics-based differentiable rendering introduces unique theoretical and engineering challenges. For instance, boundaries of objects introduce troublesome discontinuities during the computation of shadows and interreflections that lead to incorrect gradients if precautions are not taken.

                    Thankfully, recent advances in physics-based differentiable rendering theory have enabled the development of unbiased Monte Carlo algorithms that overcome the above challenges, making it possible to estimate derivatives of radiometric measurements with respect to arbitrary scene parameters in a computationally efficient way. In this talk, I will provide a high-level overview on physics-based differentiable rendering, highlighting relevant theory, algorithms, implementations, as well as current and future applications in computer vision and related areas.


                主持人簡介

                4.jpg

                    徐昆,清華大學計算機系長眼神有点不对劲聘副教授、博導,國家優秀青年基金獲得者。研究興趣包括計算機圖形學,真實感繪制和智能媒體計算。在ACM SIGGRAPH, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Image Processing等重要會議期刊發表論〓文30余篇。擔任國際一个吻期刊The Visual Computer編委 (2019年至今)、Computers & Graphics編委(2020年至今),國際會議Pacific Graphics程序委員會共同主席(2015年)。獲國家自然科學獎二等獎一項(排名4),國家科技進步獎二等獎一項(排名4)。獲中國計算機學會◇優秀博士學位論文獎,入選中國科協你把那东西交给我怎么样“青年人才托舉工程”。