Zobrazeno 1 - 10
of 12 807
pro vyhledávání: '"A, Peers"'
Image-based relighting of indoor rooms creates an immersive virtual understanding of the space, which is useful for interior design, virtual staging, and real estate. Relighting indoor rooms from a single image is especially challenging due to comple
Externí odkaz:
http://arxiv.org/abs/2411.17696
Autor:
Sartor, Sam, Peers, Pieter
We present a novel and flexible learning-based method for generating tileable image sets. Our method goes beyond simple self-tiling, supporting sets of mutually tileable images that exhibit a high degree of diversity. To promote diversity we decouple
Externí odkaz:
http://arxiv.org/abs/2409.14184
In this work, we develop a differentiable rendering pipeline for visualising plasma emission within tokamaks, and estimating the gradients of the emission and estimating other physical quantities. Unlike prior work, we are able to leverage arbitrary
Externí odkaz:
http://arxiv.org/abs/2408.07555
Autor:
Idema, Jay, Peers, Pieter
We propose a material appearance modeling neural network for visualizing plausible, spatially-varying materials under diverse view and lighting conditions, utilizing only a single photograph of a material under co-located light and view as input for
Externí odkaz:
http://arxiv.org/abs/2406.18593
Autor:
Sartor, Sam, Peers, Pieter
Publikováno v:
ACM SIGGRAPH Asia 2023 Conference Proceedings
We formulate SVBRDF estimation from photographs as a diffusion task. To model the distribution of spatially varying materials, we first train a novel unconditional SVBRDF diffusion backbone model on a large set of 312,165 synthetic spatially varying
Externí odkaz:
http://arxiv.org/abs/2406.06539
Publikováno v:
ACM SIGGRAPH 2024 Conference Proceedings
This paper presents a novel method for exerting fine-grained lighting control during text-driven diffusion-based image generation. While existing diffusion models already have the ability to generate images under any lighting condition, without addit
Externí odkaz:
http://arxiv.org/abs/2402.11929
Autor:
Zhang, Haiwei, Zhang, Jiqing, Dong, Bo, Peers, Pieter, Wu, Wenwei, Wei, Xiaopeng, Heide, Felix, Yang, Xin
Publikováno v:
Special Interest Group for Computer GRAPHICS,2023
We introduce a wearable single-eye emotion recognition device and a real-time approach to recognizing emotions from partial observations of an emotion that is robust to changes in lighting conditions. At the heart of our method is a bio-inspired even
Externí odkaz:
http://arxiv.org/abs/2310.04043
Publikováno v:
ACM SIGGRAPH 2023 Conference Proceedings
This paper presents a novel neural implicit radiance representation for free viewpoint relighting from a small set of unstructured photographs of an object lit by a moving point light source different from the view position. We express the shape as a
Externí odkaz:
http://arxiv.org/abs/2308.13404
This paper presents a novel simplification method for removing vertices from an intrinsic triangulation corresponding to extrinsic vertices lying on near-developable (i.e., with limited Gaussian curvature) and general surfaces. We greedily process al
Externí odkaz:
http://arxiv.org/abs/2307.07115