We have listed research subjects that are of interest to us. See list below. In you are interested in one of these subjects, please apply and let us know which subject you would like to research.

If you have a research subject of your own, that you think could be of interest to us, please apply and attach a short description of your suggestion.

Generating good-looking computer-generated images requires that the light in the scene is balanced. If you have too much light, then parts will be burned out and with too little light then the result will be too dark. This is usually done manually when generating one image at a time. But when the process is automated, and several thousand images are produced every day from rooms with different size, windows, lights, glossy and/or matt materials, and other prerequisites then this needs to be done automatically.

Beside changing the amount of light in the room (by reducing the amount of light from the windows for example), this could also be achieved by a combination of light in the room and exposure of the camera.

Evaluate different methods to configure a render pipeline so that it automatically produces good-looking images with respect to light.

Evaluate if an AI can balance the light and exposure in images better than a traditional method.

Given that we have a scene with several 2D “billboards” with their own depth information.

Evaluate difference methods of simulating glass effects (such as frosted glass) in the scene with respect to visual quality and performance.

Image processing and recognizing objects in images has taken large steps forward during the last couple of years, partly thanks to research being done for self-driven cars. Could this be used to automatically identify the floor area of an image or the wall of an image? Would it be possible to identify objects in those areas such as chairs, tables, paintings, carpets etc? Can those objects be masked out from the image, so that you can change the images representing the wall or the floor, and then add the object back again to get a complete image?

Can an UV map be generated from the original image so that textures can be added to the wall or floor image?

Would it be possible to identify other objects that can be changed? For example, the fronts/doors on the kitchen cabinets?

Can an AI be trained to identify if a part of an interior design image looks good? Can it give feedback on what to improve.

Is it too light? Is it too dark? Is it too empty/boring? Is it too cluttered?

Given a studio style product photo of for example a tile, would it be possible to extract a diffuse and bump map?

Investigate the feasibility of using a real time 3D engine such as Unity and Unreal engine to replace traditional ray tracer such as Redshift and Vray to render 2D images.