Skin-Screen: A computational fabrication framework for color tattoos

Tattoos are a highly popular medium, with both artistic and medical applications. Although the mechanical process of tattoo application has evolved historically, the results are reliant on the artisanal skill of the artist. This can be especially challenging for some skin tones, or in cases where artists lack experience. We provide the first systematic overview of tattooing as a computational fabrication technique. We built an automated tattooing rig and a recipe for the creation of silicone sheets mimicking realistic skin tones, which allowed us to create an accurate model predicting tattoo appearance. This enables several exciting applications including tattoo previewing, color retargeting, novel ink spectra optimization, color-accurate prosthetics, and more

Optimizing stereo-to-multiview conversion for autostereoscopic displays

We present a novel stereo-to-multiview video conversion method for glasses-free multiview displays. Different from previous stereo-to-multiview approaches, our mapping algorithm utilizes the limited depth range of autostereoscopic displays optimally and strives to preserve the scene's artistic composition and perceived depth even under strong depth compression. We first present an investigation of how perceived image quality relates to spatial frequency and disparity. The outcome of this study is utilized in a two-step mapping algorithm, where we (i) compress the scene depth using a non-linear global function to the depth range of an autostereoscopic display and (ii) enhance the depth gradients of salient objects to restore the perceived depth and salient scene structure. Finally, an adapted image domain warping algorithm is proposed to generate the multiview output, which enables overall disparity range extension

FovDots: Foveated rendering dataset

FovDots is a video quality dataset that contains simulated artifacts that are typical for foveated rendering methods. The video sequences contain moving dots (disks) of different luminance. The foveated rendering is simulated by sampling pixels more sparsely at large eccentricities, reconstructing missing pixels with an in-painting method, and then using a filter to reduce aliasing artifacts. The dataset was used to calibrate and test FovVideoVDP: A visible difference predictor for wide field-of-view video. The details of the dataset can be found in the paper: Mantiuk, Rafał K., Gyorgy Denes, Alexandre Chapiro, Anton Kaplanyan, Gizem Rufo, Romain Bachy, Trisha Lian, and Anjul Patney. “FovVideoVDP : A Visible Difference Predictor for Wide Field-of-View Video.” ACM Transaction on Graphics 40, no. 4 (2021): 49. https://doi.org/10.1145/3450626.3459831. and its supplementary materials, which can be found at: https://www.cl.cam.ac.uk/research/rainbow/projects/fovvideovdp

Analysis of the processing of seven human tumor antigens by intermediate proteasomes.

We recently described two proteasome subtypes that are intermediate between the standard proteasome and the immunoproteasome. They contain only one (β5i) or two (β1i and β5i) of the three inducible catalytic subunits of the immunoproteasome. They are present in tumor cells and abundant in normal human tissues. We described two tumor antigenic peptides that are uniquely produced by these intermediate proteasomes. In this work, we studied the production by intermediate proteasomes of tumor antigenic peptides known to be produced exclusively by the immunoproteasome (MAGE-A3(114-122), MAGE-C2(42-50), MAGE-C2(336-344)) or the standard proteasome (Melan-A(26-35), tyrosinase(369-377), gp100(209-217)). We observed that intermediate proteasomes efficiently produced the former peptides, but not the latter. Two peptides from the first group were equally produced by both intermediate proteasomes, whereas MAGE-C2(336-344) was only produced by intermediate proteasome β1i-β5i. Those results explain the recognition of tumor cells devoid of immunoproteasome by CTL recognizing peptides not produced by the standard proteasome. We also describe a third antigenic peptide that is produced exclusively by an intermediate proteasome: peptide MAGE-C2(191-200) is produced only by intermediate proteasome β1i-β5i. Analyzing in vitro digests, we observed that the lack of production by a given proteasome usually results from destruction of the antigenic peptide by internal cleavage. Interestingly, we observed that the immunoproteasome and the intermediate proteasomes fail to cleave between hydrophobic residues, despite a higher chymotrypsin-like activity measured on fluorogenic substrates. Altogether, our results indicate that the repertoire of peptides produced by intermediate proteasomes largely matches the repertoire produced by the immunoproteasome, but also contains additional peptides