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Inverse rendering of indoor scenes remains challenging due to the ambiguity between reflectance and lighting, exacerbated by inter-reflections among multiple objects. While natural illumination-based methods struggle to resolve this…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Jiaye Wu , Saeed Hadadan , Geng Lin , Peihan Tu , Matthias Zwicker , David Jacobs , Roni Sengupta

Infrared and visible image fusion has garnered considerable attention owing to the strong complementarity of these two modalities in complex, harsh environments. While deep learning-based fusion methods have made remarkable advances in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-17 Guihui Li , Bowei Dong , Kaizhi Dong , Jiayi Li , Haiyong Zheng

We present an object relighting system that allows an artist to select an object from an image and insert it into a target scene. Through simple interactions, the system can adjust illumination on the inserted object so that it appears…

Computer Vision and Pattern Recognition · Computer Science 2018-04-23 Zicheng Liao , Kevin Karsch , Hongyi Zhang , David Forsyth

Controlling illumination during video post-production is a crucial yet elusive goal in computational photography. Existing methods often lack flexibility, restricting users to certain relighting models. This paper introduces ReLumix, a…

We present a method that takes as input a set of images of a scene illuminated by unconstrained known lighting, and produces as output a 3D representation that can be rendered from novel viewpoints under arbitrary lighting conditions. Our…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Pratul P. Srinivasan , Boyang Deng , Xiuming Zhang , Matthew Tancik , Ben Mildenhall , Jonathan T. Barron

Recent advances in 3D scene generation produce visually appealing output, but current representations hinder artists' workflows that require modifiable 3D textured mesh scenes for visual effects and game development. Despite significant…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Tobias Sautter , Jan-Niklas Dihlmann , Hendrik P. A. Lensch

We propose RelitLRM, a Large Reconstruction Model (LRM) for generating high-quality Gaussian splatting representations of 3D objects under novel illuminations from sparse (4-8) posed images captured under unknown static lighting. Unlike…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Tianyuan Zhang , Zhengfei Kuang , Haian Jin , Zexiang Xu , Sai Bi , Hao Tan , He Zhang , Yiwei Hu , Milos Hasan , William T. Freeman , Kai Zhang , Fujun Luan

Autonomous agents, such as driverless cars, require large amounts of labeled visual data for their training. A viable approach for acquiring such data is training a generative model with collected real data, and then augmenting the…

Computer Vision and Pattern Recognition · Computer Science 2021-10-08 Moein Sorkhei , Gustav Eje Henter , Hedvig Kjellström

Volumetric video relighting is essential for bringing captured performances into virtual worlds, but current approaches struggle to deliver temporally stable, production-ready results. Diffusion-based intrinsic decomposition methods show…

Computer Vision and Pattern Recognition · Computer Science 2026-01-23 Elisabeth Jüttner , Janelle Pfeifer , Leona Krath , Stefan Korfhage , Hannah Dröge , Matthias B. Hullin , Markus Plack

In nighttime circumstances, it is challenging for individuals and machines to perceive their surroundings. While prevailing image restoration methods adeptly handle singular forms of degradation, they falter when confronted with intricate…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Yifan Chen , Fei Yin , Chunle Guo , Chongyi Li , Yujiu Yang

The light stage has been widely used in computer graphics for the past two decades, primarily to enable the relighting of human faces. By capturing the appearance of the human subject under different light sources, one obtains the light…

Large-scale generative models have achieved remarkable advancements in various visual tasks, yet their application to shadow removal in images remains challenging. These models often generate diverse, realistic details without adequate…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Xinjie Li , Yang Zhao , Dong Wang , Yuan Chen , Li Cao , Xiaoping Liu

Generating realistic shadows for inserted objects requires reasoning about scene geometry and illumination. However, most existing methods operate purely in image space, leaving the physical relationship between objects, lighting, and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Shilin Hu , Jingyi Xu , Akshat Dave , Dimitris Samaras , Hieu Le

Gaussian Splatting (GS) has emerged as an effective representation for photorealistic rendering, but the underlying geometry, material, and lighting remain entangled, hindering scene editing. Existing GS-based methods struggle to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Kang Du , Zhihao Liang , Yulin Shen , Zeyu Wang

This paper aims to recover the intrinsic reflectance layer and shading layer given a single image. Though this intrinsic image decomposition problem has been studied for decades, it remains a significant challenge in cases of complex…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Xiaodong Wang , Zijun He , Xin Yuan

Mixed Reality scene relighting, where virtual changes to lighting conditions realistically interact with physical objects, producing authentic illumination and shadows, can be used in a variety of applications. One such application in real…

Graphics · Computer Science 2025-08-22 Hanwen Zhao , John Akers , Baback Elmieh , Ira Kemelmacher-Shlizerman

Reconstructing models of the real world, including 3D geometry, appearance, and motion of real scenes, is essential for computer graphics and computer vision. It enables the synthesizing of photorealistic novel views, useful for the movie…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Raza Yunus , Jan Eric Lenssen , Michael Niemeyer , Yiyi Liao , Christian Rupprecht , Christian Theobalt , Gerard Pons-Moll , Jia-Bin Huang , Vladislav Golyanik , Eddy Ilg

Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography. Existing methods usually require additional information like the geometric structure of the…

Computer Vision and Pattern Recognition · Computer Science 2020-10-16 Li-Wen Wang , Wan-Chi Siu , Zhi-Song Liu , Chu-Tak Li , Daniel P. K. Lun

Single-image relighting is a challenging task that involves reasoning about the complex interplay between geometry, materials, and lighting. Many prior methods either support only specific categories of images, such as portraits, or require…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Haian Jin , Yuan Li , Fujun Luan , Yuanbo Xiangli , Sai Bi , Kai Zhang , Zexiang Xu , Jin Sun , Noah Snavely

Sunlight and shadow play critical roles in how urban spaces are utilized, thrive, and grow. While access to sunlight is essential to the success of urban environments, shadows can provide shaded places to stay during the hot seasons,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Kazi Shahrukh Omar , Gustavo Moreira , Daniel Hodczak , Maryam Hosseini , Nicola Colaninno , Marcos Lage , Fabio Miranda