Eduardo PĂ©rez Pellitero

Senior Research Scientist • Enhanced 3D Imaging Group • Noah's Ark Lab • Huawei

I am a Senior Research Scientist at London's Noah's Ark Lab (Huawei), where I lead the Enhanced 3D Imaging Group.

Previously I was a postdoctoral researcher at the Empirical Inference department of the Max Planck Institute for Intelligent Systems, directed by Bernhard Schölkopf, more specifically working within the Computational Imaging Group. Before that, I spent some time having fun and doing my PhD somewhere in between the TNT Lab of Leibniz Universität Hannover and Technicolor R&I, where I did research on manifold learning for Super Resolution applications.

My research interests include computational photography, neural fields, high-dynamic-range imaging, differentiable rendering, and machine learning. In a broader sense, I am interested in any model that allows us to dissect, analyse and play around with the digital image formation process.

Apart from research, some of the things I enjoy most in my life are playing the electric bass and practising historical fencing (i.e. HEMA).


Feb 27, 2024 HuGS (Human Gaussian Splatting: Real-time Rendering of Animatable Avatars) is accepted to CVPR 2024! Stay tuned for the project page and the updated camera ready preprint.
Oct 15, 2023 One paper accepted to 3DV 2024 about neural rendering of hand-object interactions. Stay tuned for a preprint and more details.
Oct 7, 2023 The To NeRF or not to NeRF: A View Synthesis Challenge for Human Heads we co-organized during ICCV 2023 has now finished. Please check our report paper for more details!
May 18, 2023 We are organizing a novel-view synthesis challenge within the ICCV 2023 Workshops. Please download the newly released Imperial Lighstage Head Dataset and participate!
Oct 20, 2022 I have been listed as Outstanding Reviewer for ECCV 2022.
Oct 13, 2022 Our Bracketed Exposure + Events HDR paper has been accepted to BMVC 2022 as spotlight. Check the project website.
Aug 16, 2022 Our FlexHDR paper has been accepted to IEEE Trans. on Image Processing! Check the project website.