Jichao Zhang is a PhD researcher based in Trentino–Alto Adige/Südtirol with 10 years of experience at the intersection of computer vision and computer graphics. His work focuses on generative models—GANs and diffusion models—applied to visual synthesis and rendering problems. As a current PhD candidate at Università di Trento, he blends theoretical rigor with hands-on experimentation, developing methods that bridge graphics and perception. Colleagues describe him as a researcher who pairs deep academic insight with practical implementation skills, often translating novel models into reproducible code. Though primarily academic, his GitHub presence highlights sustained experimentation in generative modeling and an appetite for pushing image synthesis boundaries.
Unsupervised High-Resolution Portrait Gaze Correction and Animation (TIP 2022)
Contributions:91 commits, 5 PRs, 110 pushes in 3 years 7 months
pytorchportraitanimationtipgaze-correction
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