Search Results for author: Philipp Henzler

Found 9 papers, 2 papers with code

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction

1 code implementation ICCV 2021 Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotny

Traditional approaches for learning 3D object categories have been predominantly trained and evaluated on synthetic datasets due to the unavailability of real 3D-annotated category-centric data.

3D Reconstruction Neural Rendering +1

Learning a Neural 3D Texture Space from 2D Exemplars

1 code implementation CVPR 2020 Philipp Henzler, Niloy J. Mitra, Tobias Ritschel

We propose a generative model of 2D and 3D natural textures with diversity, visual fidelity and at high computational efficiency.

Computational Efficiency

Escaping Plato's Cave: 3D Shape From Adversarial Rendering

no code implementations ICCV 2019 Philipp Henzler, Niloy Mitra, Tobias Ritschel

We can successfully reconstruct 3D shapes from unstructured 2D images and extensively evaluate PlatonicGAN on a range of synthetic and real data sets achieving consistent improvements over baseline methods.

Femtosecond Transfer and Manipulation of Persistent Hot-Trion Coherence in a Single CdSe/ZnSe Quantum Dot

no code implementations20 Nov 2020 Philipp Henzler, Christian Traum, Matthias Holtkemper, David Nabben, Marcel Erbe, Doris E. Reiter, Tilmann Kuhn, Suddhassatta Mahapatra, Karl Brunner, Denis V. Seletskiy, Alfred Leitenstorfer

Ultrafast transmission changes around the fundamental trion resonance are studied after exciting a p-shell exciton in a negatively charged II-VI quantum dot.

Mesoscale and Nanoscale Physics Quantum Physics

Generative Modelling of BRDF Textures from Flash Images

no code implementations23 Feb 2021 Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra, Tobias Ritschel

We learn a latent space for easy capture, consistent interpolation, and efficient reproduction of visual material appearance.

CamP: Camera Preconditioning for Neural Radiance Fields

no code implementations21 Aug 2023 Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla

We propose using a proxy problem to compute a whitening transform that eliminates the correlation between camera parameters and normalizes their effects, and we propose to use this transform as a preconditioner for the camera parameters during joint optimization.

Cannot find the paper you are looking for? You can Submit a new open access paper.