Continue with FacebookLooking to list your PhD opportunities? Log in here.
graphics PhD Projects, Programmes & Scholarships
We have 19 graphics PhD Projects, Programmes & Scholarships
PhD saved successfully
Deep Learning based Computer Graphics for Creating Virtual Characters
This project aims at modelling human motion and body/facial shape data with deep neural network to synthesize virtual characters for computer graphics, animation and games. Read more
PhD position in Computer Graphics - Predictive Rendering of Fluorescent Materials
Charles University. , Prague, Czech Republic. We are pleased to announce open PhD position for suitably qualified and highly motivated candidates in the. Read more
Perceptual graphics
Research Group:
School of Computing
The human visual system is much more complex than what we simulate when rendering graphics to a virtual eye. The way humans perceive the world is related not only to the structure of the eye, but also with how our brain interprets things. Read more
Computer Graphics - Material Appearance Modeling and Physically Based Rendering
In recent years, especially in the presence of the pandemic and everyone working remotely, the advance of Computer Graphics becomes essential more than ever. Read more
The integration of haptics with immersive virtual reality
We are looking for a highly motivated candidate with an interest in exploiting interactive computer graphics and haptics devices (force and tactile feedback). Read more
Deep Learning and Image Analysis for Paintings and Drawings
This project aims at using advanced deep learning based computer vision algorithms to analyse and understand the context of paintings, drawings and cartoon, which are also known as non-photorealistic imagery. Read more
Computer Vision with Deep Learning for Human Data Modelling
This project focuses on the research of deep learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. Read more
Visual Propaganda and the Covid-19 Crisis – A Critical Inquiry
The proposed project provides a suitable researcher with the opportunity to investigate the role that visual and political propaganda has played during the Covid-19 crisis. Read more
Collaborative and Immersive Visualization Environments for Data Exploration
Immersive analytics has become a significant research field with applications in natural sciences, in contexts that require users’ exploration and understanding of three-dimensional spatial data. Read more
FIERCE: Fast IntERactive simulation for Crowds and Environments-G
Research Group:
School of Computing
Understanding and predicting airflows in enclosed environments not only lowers physical dangers in extreme situations but also has a wider and long-term impact on safety, thermal comfort and energy efficiency. Read more
3D realistic and interactive fluid simulation
Research Group:
School of Computing
Fluid simulation has been widely used in many areas in engineering, ranging from aircraft design to entertainment (games/movies/apps). Read more
3D realistic and interactive fabric simulation
Research Group:
School of Computing
Cloth Simulation has been used widely in many industries such as fashion (design, online retail, etc.) and entertainment (games, movies, etc. Read more
3D Human Motion Analysis
Research Group:
School of Computing
Human motion is deceivingly simple but intricately complicated. We walk, run and jump on a daily basis without realising how much time and effort we made to master these motor skills when we were little. Read more
Deep Learning and Partial Differential Equations
Research Group:
School of Computing
Automated Finite Element Mesh Generation. Artificial Intelligence/Machine Learning/Deep Learning, Fluid Dynamics. Read more
Energy dissipation in human soft tissue during impacts
Loughborough University is a top-ten rated university in England for research intensity (REF, 2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%. Read more
- 1
- 2