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Virtual production (VP) use LED walls to provide both background imagery and image-based lighting. While this enables on-set compositing, it couples lighting to background and scene appearance, limiting flexibility for downstream editing.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Adrian Azzarelli , Nantheera Anantrasirichai , James Pollock , David R. Bull

While 3D Gaussian splatting has emerged as a powerful paradigm, it fundamentally fails to model transparency such as glass panels. The core challenge lies in decoupling the intertwined radiance contributions from transparent interfaces and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Youngju Na , Jaeseong Yun , Soohyun Ryu , Hyunsu Kim , Sung-Eui Yoon , Suyong Yeon

Undoing the image formation process and therefore decomposing appearance into its intrinsic properties is a challenging task due to the under-constraint nature of this inverse problem. While significant progress has been made on inferring…

Computer Vision and Pattern Recognition · Computer Science 2015-11-16 Konstantinos Rematas , Tobias Ritschel , Mario Fritz , Efstratios Gavves , Tinne Tuytelaars

Reconstructing the geometry and appearance of objects from photographs taken in different environments is difficult as the illumination and therefore the object appearance vary across captured images. This is particularly challenging for…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Hadi Alzayer , Philipp Henzler , Jonathan T. Barron , Jia-Bin Huang , Pratul P. Srinivasan , Dor Verbin

We present a method for estimating detailed scene illumination using human faces in a single image. In contrast to previous works that estimate lighting in terms of low-order basis functions or distant point lights, our technique estimates…

Computer Vision and Pattern Recognition · Computer Science 2018-07-24 Renjiao Yi , Chenyang Zhu , Ping Tan , Stephen Lin

In this paper we present a technique that improves rendering performance for real-time scenes with ray traced lighting in the presence of dynamic lights and objects. In particular we verify photon paths from the previous frame against…

Graphics · Computer Science 2021-11-16 Pierre Moreau , Michael Doggett , Erik Sintorn

Modeling reflections from 2D images is essential for photorealistic rendering and novel view synthesis. Recent approaches enhance Gaussian primitives with reflection-related material attributes to enable physically based rendering (PBR)…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Wenyuan Zhang , Jimin Tang , Weiqi Zhang , Yi Fang , Yu-Shen Liu , Zhizhong Han

Manipulating the illumination of a 3D scene within a single image represents a fundamental challenge in computer vision and graphics. This problem has traditionally been addressed using inverse rendering techniques, which involve explicit…

Computer Vision and Pattern Recognition · Computer Science 2025-10-24 Shrisha Bharadwaj , Haiwen Feng , Giorgio Becherini , Victoria Fernandez Abrevaya , Michael J. Black

Neural rendering provides a fundamentally new way to render photorealistic images. Similar to traditional light-baking methods, neural rendering utilizes neural networks to bake representations of scenes, materials, and lights into latent…

Graphics · Computer Science 2024-05-30 Ziyang Zhang , Edgar Simo-Serra

In this paper, we study the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. We show that such reflectors can be interpreted as a randomized mapping from the…

Computer Vision and Pattern Recognition · Computer Science 2014-12-30 Zhengdong Zhang , Phillip Isola , Edward H. Adelson

Recent approaches for 3D relighting have shown promise in integrating 2D image relighting generative priors to alter the appearance of a 3D representation while preserving the underlying structure. Nevertheless, generative priors used for…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Yehonathan Litman , Fernando De la Torre , Shubham Tulsiani

Decoupling lighting from geometry using unconstrained photo collections is notoriously challenging. Solving it would benefit many users as creating complex 3D assets takes days of manual labor. Many previous works have attempted to address…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Joanna Kaleta , Kacper Kania , Tomasz Trzcinski , Marek Kowalski

Accurate reconstruction and relighting of glossy objects remains a longstanding challenge, as object shape, material properties, and illumination are inherently difficult to disentangle. Existing neural rendering approaches often rely on…

Graphics · Computer Science 2025-12-15 Georgios Kouros , Minye Wu , Tinne Tuytelaars

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

Inverse rendering aims to decompose a scene into its geometry, material properties and light conditions under a certain rendering model. It has wide applications like view synthesis, relighting, and scene editing. In recent years, inverse…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Geng Lin , Matthias Zwicker

Multi-illuminant color constancy methods aim to eliminate local color casts within an image through pixel-wise illuminant estimation. Existing methods mainly employ deep learning to establish a direct mapping between an image and its…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Hang Luo , Rongwei Li , Jinxing Liang

We present the first end to end approach for real time material estimation for general object shapes with uniform material that only requires a single color image as input. In addition to Lambertian surface properties, our approach fully…

Computer Vision and Pattern Recognition · Computer Science 2018-05-07 Abhimitra Meka , Maxim Maximov , Michael Zollhoefer , Avishek Chatterjee , Hans-Peter Seidel , Christian Richardt , Christian Theobalt

Global Illumination (GI) is of utmost importance in the field of photo-realistic rendering. However, its computation has always been very complex, especially diffuse GI. State of the art real-time GI methods have limitations of different…

Graphics · Computer Science 2020-07-30 Jinkai Hu , Milo Yip , G. Elias Alonso , Shihao Gu , Xiangjun Tang , Xiaogang Jin

Low light images captured in a non-uniform illumination environment usually are degraded with the scene depth and the corresponding environment lights. This degradation results in severe object information loss in the degraded image…

Computer Vision and Pattern Recognition · Computer Science 2020-08-03 Xin Xu , Shiqin Wang , Zheng Wang , Xiaolong Zhang , Ruimin Hu

Particle-based representations of radiance fields such as 3D Gaussian Splatting have found great success for reconstructing and re-rendering of complex scenes. Most existing methods render particles via rasterization, projecting them to…