Advanced Computer Graphics

CS05145 高级计算机图形学

时间:周五 9:45-12:10
教室:3A401

教师:黄章进

论文报告顺序

2017年12月22日8:30-12:30,3A401教室:

  1. SA17011016 樊伟 & SA17011023 桂飞 VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
  2. BC17010006 董家华 & BC17010008 崔芸阁 Learning a model of facial shape and expression from 4D scans
  3. SA17168156 王东全 Phace: Physics-based Face Modeling and Animation
  4. SC17010013 付亚同 & SC17011013 牛硕硕 DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling
  5. SA17168259 张波 & SA17168261 曹承龙 Bringing Portraits to Life
  6. SA16001043 陶炯 Deformation-Driven Shape Correspondence via Shape Recognition
  7. SA17168152 李勤勤 & SA17168158 张哲晗 GRASS: Generative Recursive Autoencoders for Shape Structures
  8. SA17168151 戴津 & SA17168160 王丽媛 Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction
  9. SC17011032 郑礼辉 & SC17023112 杨洪业 BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration
  10. SA17011154 王灿 & SA17011168 郑壮强 Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors
  11. SA17011151 戚宇豪 & SA17011171 朱天宇 Reconfigurable Interlocking Furniture
  12. SA17168257 黄仲旻 & SA17168258 李滨 Accommodation and Comfort in Head-Mounted Displays

2017年12月22日18:30-22:00,电3楼632会议室:

  1. SA17011039 李子天 & SA17011141 黄小青 Kernel-predicting Convolutional Networks for Denoising Monte Carlo Renderings
  2. SA17011073 文可 & SA17011123 林增 Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder
  3. SC17002023 吴玥 Globally and Locally Consistent Image Completion
  4. SA16006137 韩江萍 & SC17023008 谭畅 Deep Extraction of Manga Structural Lines
  5. SA17011061 汪方军 & SA17011102 周健 Visual Attribute Transfer through Deep Image Analogy
  6. SA17011098 张中亚 & SA17011100 周典成 Real-Time User-Guided Image Colorization with Learned Deep Priors
  7. SC17023132 师晨光 & SC17023133 陈文卿 Interactive High-Quality Green-Screen Keying via Color Unmixing
  8. SA17011165 张团 Modeling Surface Appearance From a Single Photograph Using Self-Augmented Convolutional Neural Networks
  9. SA17010008 冯相如 & SA17010029 李晓星 Learning to Predict Indoor Illumination from a Single Image

序号

学号

姓名

论文题目

1 BC17010006 董家华    

 

37. Learning a model of facial shape and expression from 4D scans
2 BC17010008 崔芸阁    

 

同 董家华
3 SA16001043 陶炯    

 

7. Deformation-Driven Shape Correspondence via Shape Recognition
4 SA16006137 韩江萍    

 

24. Deep Extraction of Manga Structural Lines
5 SA17010008 冯相如    

 

40. Learning to Predict Indoor Illumination from a Single Image
6 SA17010029 李晓星    

 

同 冯相如
7 SA17011016 樊伟    

 

1. VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
8 SA17011023 桂飞    

 

同 樊伟
9 SA17011039 李子天    

 

20. Kernel-predicting Convolutional Networks for Denoising Monte Carlo
Renderings
10 SA17011061 汪方军    

 

27. Visual Attribute Transfer through Deep Image Analogy
11 SA17011073 文可    

 

21. Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder
12 SA17011098 张中亚    

 

26. Real-Time User-Guided Image Colorization with Learned Deep Priors
13 SA17011100 周典成    

 

同 张中亚
14 SA17011102 周健    

 

同 汪方军
15 SA17011123 林增    

 

同 文可
16 SA17011141 黄小青    

 

同 李子天
17 SA17011151 戚宇豪    

 

45. Reconfigurable Interlocking Furniture
18 SA17011154 王灿    

 

11. Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors
19 SA17011165 张团       3. Modeling Surface Appearance From a Single Photograph Using Self-Augmented Convolutional Neural Networks
20 SA17011168 郑壮强    

 

同 王灿
21 SA17011171 朱天宇       同 戚宇豪
22 SA17168151 戴津       4. Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction
23 SA17168152 李勤勤       8. GRASS: Generative Recursive Autoencoders for Shape Structures
24 SA17168156 王东全       31. Phace: Physics-based Face Modeling and Animation
25 SA17168158 张哲晗       同 李勤勤
26 SA17168160 王丽媛       同 戴津
27 SA17168257 黄仲旻       Accommodation and Comfort in Head-Mounted Displays
28 SA17168258 李滨       同 黄仲旻
29 SA17168259 张波       42. Bringing Portraits to Life
30 SA17168261 曹承龙       同 张波
31 SC17002023 吴玥    

 

22. Globally and Locally Consistent Image Completion
32 SC17010013 付亚同    

 

29. DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling
33 SC17011013 牛硕硕    

 

同 付亚同
34 SC17011032 郑礼辉

 

 

 

BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration

35 SC17023008 谭畅       同 韩江萍
36 SC17023112 杨洪业       同 郑礼辉
37 SC17023132 师晨光       9. Interactive High-Quality Green-Screen Keying via Color Unmixing
38 SC17023133 陈文卿       同 师晨光
39 SL17215006 ADEEL AHMED        

 


论文报告 列表

时间:待定

要求:

  1. 自行分组报告论文,每组不超过2人,申领论文时把组员学号和姓名一起发到老师邮箱
  2. 论文选自Siggraph 2017 (http://kesen.realtimerendering.com/sig2017.htmlACM Digital Library )共34篇,和Siggraph Asia 2017(http://kesen.realtimerendering.com/siga2017Papers.htm)共10篇(具体见论文列表),每组选择一篇感兴趣的论文报告。
  3. 为解决选择相同论文的冲突,请大家在email中提供按优先级排列的拟报告论文列表。 根据先到先得原则按发email的时间顺序来确定报告论文列表。 如果所选论文都已被认领,会告知再次提供一份拟报告论文列表。只有在所有组确定完所报告的论文后,才能更换已确定的论文。
  4. 每篇论文报告时间为10-15分钟(包括展示video),讨论2-3分钟时间。
  5. 由于每篇论文的报告时间有限,比较短,因此报告的重点在于:简单介绍作者和单位情况; 主要讲一下这篇文章在做什么(What)?为什么做这个问题(motivation-Why)?这个问题以前有些什么工作? 难点在哪里?这篇文章解决了什么样的难点或提出什么样的新方法(selling points)?局限和未来工作(limitation and future work)? 细节若太多不用展开,关键要让大家知道这篇文章的主要思想和价值所在。
  6. 请大家尽量在网上去找关于你所负责报告论文的相关资料。如各个作者的主页,项目网页。 很多作者会把论文、video、甚至将PPT放在他的主页。讲解论文时,论文中的图片、视频均播放给大家看一下。 “一图胜千言”,视频又能胜于图片。
  7. 书面报告要求采用科研论文格式(标题、摘要、关键字、正文、参考文献等)撰写, 内容可以是所报告论文的概览、同主题多篇论文的综述等。
  8. 评分:PPT口头报告 + 书面报告

 

 

Last update : 12/20/2017