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Computational Geometry and Graphics Lab
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A lab that uses computer graphics and image processing to edit and generate images of people and terrain.
AboutAbout the lab
Freely manipulating appearance with CG and image processing
The Computational Geometry and Graphics Lab studies a wide range of subjects, including people, terrain, and fonts, centered on computer graphics (CG) and image processing.
The lab works on techniques for editing the clothing, age, and pose of people in images, and on generating and editing terrain landscapes using weather satellite data.
In addition to an all-member lab seminar and group meetings, the lab holds individual research meetings and actively encourages students to present their research outside the university.
The lab was renamed in March 2018 from the "Non-Numerical Processing Algorithms Lab."
Key terms
- Aesthetics
- How good a photograph looks. It refers to a subjective evaluation of beauty.
- Relighting
- Image editing that changes the lighting conditions of an already captured image after the fact
- Free-viewpoint human image generation
- Technology that creates an image of a person seen from an arbitrary viewpoint based on images taken from multiple viewpoints
NewsLab news
Lab introduction session for third-year students held (10/20)
A master's student received a Corporate Award at Visual Computing 2026
A master's student received a Research Encouragement Award at Visual Computing 2026
A student received an Outstanding Research Presentation Award at the 201st CGVI Research Meeting
A student received a Student Presentation Award at the 201st CGVI Research Meeting
ResearchResearch themes
The lab conducts research on a wide range of subjects, including people, terrain, and fonts, centered on computer graphics (CG) and image processing. Its work spans editing of human images, generation and editing of terrain landscapes using weather satellite data, and image editing based on aesthetics.
Editing and generating human images
The lab studies techniques for freely manipulating the appearance of people, such as changing clothing through text instructions, editing age, facial expression, pose, body shape, and makeup, and relighting. It also works on free-viewpoint human image generation, which creates images of a person from an arbitrary viewpoint using images taken from multiple viewpoints.
*Illustrative imageGenerating and editing terrain landscapes
Using data such as weather satellite data, the lab studies the creation of realistic terrain landscapes, including techniques that generate terrain shape and texture simultaneously and control texture according to the season.
*Illustrative imageImage editing that improves the look of photographs
The lab also studies subjective evaluations of beauty, including techniques that improve the aesthetics (visual appeal) of a photograph by manipulating the camera viewpoint.
*Illustrative imageFont image synthesis and related research
The lab works on synthesizing font images for which use cases such as brand logos can be specified, building a large-scale dataset of facial landmarks for illustrations, and automatic generation of reflection probes.
MembersFaculty
The members of the Computational Geometry and Graphics Lab consist of faculty, graduate students in the doctoral and master's programs, undergraduate students, and alumni.As of 2026
- ProfessorYoshihiro Kanamori
- Associate ProfessorYuki Endo
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Interior sports clothing store Cala Millor” Steffen Mokosch / CC BY-SA 4.0 (cropped)
- Generating and editing terrain landscapes: “Francisque Millet - Mountain landscape with lightning (c.1675)” Francisque Millet / Public domain (cropped)
- Image editing that improves the look of photographs: “Photographer with Camera and Tripod ( )” ShenandoahNPS / Public domain (cropped)
- Font image synthesis and related research: “Metal movable type” Willi Heidelbach / CC BY 2.5 (cropped)
- Related lab (Physically Based Computer Graphics Lab): “Rendering techniques example, path tracing, high quality, Blender Cycles” KaiaVintr / CC BY-SA 4.0 (cropped)
- Related lab (Graphic Design Lab): “Real-time and pre-rendered rendering comparison” Adamgmz / CC BY-SA 4.0 (cropped)
- Related lab (Social Robot Lab): “Team ViGIR Robot Florian DARPA Robotics Challenge 2015” Sun L. Vega / Public domain (cropped)
- Related lab (Digital Nature Development Research Center): “Sensorify Interactive Art Installation, 2023” Zafeirious / CC BY-SA 4.0 (cropped)
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