Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation

R Chen, Y Chen, N Jiao, K Jia - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Automatic 3D content creation has achieved rapid progress recently due to the availability of
pre-trained, large language models and image diffusion models, forming the emerging topic …

Tango: Text-driven photorealistic and robust 3d stylization via lighting decomposition

Y Chen, R Chen, J Lei, Y Zhang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Creation of 3D content by stylization is a promising yet challenging problem in computer
vision and graphics research. In this work, we focus on stylizing photorealistic appearance …

Differentiable monte carlo ray tracing through edge sampling

TM Li, M Aittala, F Durand, J Lehtinen - ACM Transactions on Graphics …, 2018 - dl.acm.org
Gradient-based methods are becoming increasingly important for computer graphics,
machine learning, and computer vision. The ability to compute gradients is crucial to …

[HTML][HTML] Deep appearance modeling: A survey

Y Dong - Visual Informatics, 2019 - Elsevier
Appearance modeling is an essential task in computer graphics for capturing and
reproducing rich appearance of real world materials under different lighting and viewing …

BRDF representation and acquisition

D Guarnera, GC Guarnera, A Ghosh… - Computer Graphics …, 2016 - Wiley Online Library
Photorealistic rendering of real world environments is important in a range of different areas;
including Visual Special effects, Interior/Exterior Modelling, Architectural Modelling, Cultural …

MaterialGAN: Reflectance capture using a generative SVBRDF model

Y Guo, C Smith, M Hašan, K Sunkavalli… - arXiv preprint arXiv …, 2020 - arxiv.org
We address the problem of reconstructing spatially-varying BRDFs from a small set of image
measurements. This is a fundamentally under-constrained problem, and previous work has …

Practical svbrdf acquisition of 3d objects with unstructured flash photography

G Nam, JH Lee, D Gutierrez, MH Kim - ACM Transactions on Graphics …, 2018 - dl.acm.org
Capturing spatially-varying bidirectional reflectance distribution functions (SVBRDFs) of 3D
objects with just a single, hand-held camera (such as an off-the-shelf smartphone or a DSLR …

[HTML][HTML] Design and implementation of practical bidirectional texture function measurement devices focusing on the developments at the university of bonn

C Schwartz, R Sarlette, M Weinmann, M Rump, R Klein - Sensors, 2014 - mdpi.com
Understanding as well as realistic reproduction of the appearance of materials play an
important role in computer graphics, computer vision and industry. They enable applications …

Flexible svbrdf capture with a multi‐image deep network

V Deschaintre, M Aittala, F Durand… - Computer graphics …, 2019 - Wiley Online Library
Empowered by deep learning, recent methods for material capture can estimate a spatially‐
varying reflectance from a single photograph. Such lightweight capture is in stark contrast …

Two-shot spatially-varying brdf and shape estimation

M Boss, V Jampani, K Kim… - Proceedings of the …, 2020 - openaccess.thecvf.com
Capturing the shape and spatially-varying appearance (SVBRDF) of an object from images
is a challenging task that has applications in both computer vision and graphics. Traditional …