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Inverse rendering methods aim to estimate geometry, materials and illumination from multi-view RGB images. In order to achieve better decomposition, recent approaches attempt to model indirect illuminations reflected from different…

Computer Vision and Pattern Recognition · Computer Science 2023-09-15 Haoqian Wu , Zhipeng Hu , Lincheng Li , Yongqiang Zhang , Changjie Fan , Xin Yu

Inverse rendering methods that account for global illumination are becoming more popular, but current methods require evaluating and automatically differentiating millions of path integrals by tracing multiple light bounces, which remains…

Computer Vision and Pattern Recognition · Computer Science 2023-08-01 Saeed Hadadan , Geng Lin , Jan Novák , Fabrice Rousselle , Matthias Zwicker

Traditional inverse rendering techniques are based on textured meshes, which naturally adapts to modern graphics pipelines, but costly differentiable multi-bounce Monte Carlo (MC) ray tracing poses challenges for modeling global…

Graphics · Computer Science 2025-06-09 Jiakai Sun , Weijing Zhang , Zhanjie Zhang , Tianyi Chu , Guangyuan Li , Lei Zhao , Wei Xing

Being able to see beyond the direct line of sight is an intriguing prospective and could benefit a wide variety of important applications. Recent work has demonstrated that time-resolved measurements of indirect diffuse light contain…

Graphics · Computer Science 2019-10-24 Julian Iseringhausen , Matthias B. Hullin

Despite significant advances in algorithms and hardware, global illumination continues to be a challenge in the real-time domain. Time constraints often force developers to either compromise on the quality of global illumination or…

Graphics · Computer Science 2024-06-13 Alexandr Kuznetsov , Stavros Diolatzis , Anton Sochenov , Anton Kaplanyan

Most existing illumination-editing approaches fail to simultaneously provide customized control of light effects and preserve content integrity. This makes them less effective for practical lighting stylization requirements, especially in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Zongming Li , Lianghui Zhu , Haocheng Shen , Longjin Ran , Wenyu Liu , Xinggang Wang

Physically-based rendering (PBR) is key for immersive rendering effects used widely in the industry to showcase detailed realistic scenes from computer graphics assets. A well-known caveat is that producing the same is computationally heavy…

Computer Vision and Pattern Recognition · Computer Science 2023-04-13 Jing Yang , Hanyuan Xiao , Wenbin Teng , Yunxuan Cai , Yajie Zhao

Global illumination combines direct and indirect lighting to create realistic lighting effects, bringing virtual scenes closer to reality. Static global illumination is a crucial component of virtual scene rendering, leveraging…

Graphics · Computer Science 2025-06-03 Junke Zhu , Zehan Wu , Qixing Zhang , Cheng Liao , Zhangjin Huang

Recent advances in neural rendering have shown great potential for reconstructing scenes from multiview images. However, accurately representing objects with glossy surfaces remains a challenge for existing methods. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Ruofan Liang , Huiting Chen , Chunlin Li , Fan Chen , Selvakumar Panneer , Nandita Vijaykumar

Understanding and modeling lighting effects are fundamental tasks in computer vision and graphics. Classic physically-based rendering (PBR) accurately simulates the light transport, but relies on precise scene representations--explicit 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Ruofan Liang , Zan Gojcic , Huan Ling , Jacob Munkberg , Jon Hasselgren , Zhi-Hao Lin , Jun Gao , Alexander Keller , Nandita Vijaykumar , Sanja Fidler , Zian Wang

We present TranSplat, a method for instant, accurate object relighting within the Gaussian Splatting (GS) framework. Rather than relying on costly inverse rendering routines, we propose a BRDF-free radiance transfer strategy that…

Computer Vision and Pattern Recognition · Computer Science 2026-05-01 Boyang Tony Yu , Yanlin Jin , Yun He , Akshat Dave , Ravi Ramamoorthi , Guha Balakrishnan

Decomposing a scene into its shape, reflectance, and illumination is a challenging but important problem in computer vision and graphics. This problem is inherently more challenging when the illumination is not a single light source under…

Computer Vision and Pattern Recognition · Computer Science 2021-08-27 Mark Boss , Raphael Braun , Varun Jampani , Jonathan T. Barron , Ce Liu , Hendrik P. A. Lensch

We present an imaging and neural rendering technique that seeks to synthesize videos of light propagating through a scene from novel, moving camera viewpoints. Our approach relies on a new ultrafast imaging setup to capture a first-of-its…

Computer Vision and Pattern Recognition · Computer Science 2024-08-23 Anagh Malik , Noah Juravsky , Ryan Po , Gordon Wetzstein , Kiriakos N. Kutulakos , David B. Lindell

Recent advances in implicit neural representations and differentiable rendering make it possible to simultaneously recover the geometry and materials of an object from multi-view RGB images captured under unknown static illumination.…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Yuanqing Zhang , Jiaming Sun , Xingyi He , Huan Fu , Rongfei Jia , Xiaowei Zhou

This paper proposes a novel approach for rendering a pre-trained Neural Radiance Field (NeRF) in real-time on resource-constrained devices. We introduce Re-ReND, a method enabling Real-time Rendering of NeRFs across Devices. Re-ReND is…

Computer Vision and Pattern Recognition · Computer Science 2023-03-16 Sara Rojas , Jesus Zarzar , Juan Camilo Perez , Artsiom Sanakoyeu , Ali Thabet , Albert Pumarola , Bernard Ghanem

Neural radiance fields (NeRFs) have become a ubiquitous tool for modeling scene appearance and geometry from multiview imagery. Recent work has also begun to explore how to use additional supervision from lidar or depth sensor measurements…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Anagh Malik , Parsa Mirdehghan , Sotiris Nousias , Kiriakos N. Kutulakos , David B. Lindell

Implicit neural representation has opened up new possibilities for inverse rendering. However, existing implicit neural inverse rendering methods struggle to handle strongly illuminated scenes with significant shadows and indirect…

Computer Vision and Pattern Recognition · Computer Science 2023-11-22 Ziyi Yang , Yanzhen Chen , Xinyu Gao , Yazhen Yuan , Yu Wu , Xiaowei Zhou , Xiaogang Jin

Modeling of high-frequency outgoing radiance distributions has long been a key challenge in rendering, particularly for glossy material. Such distributions concentrate radiative energy within a narrow lobe and are highly sensitive to…

Graphics · Computer Science 2025-09-10 Jierui Ren , Haojie Jin , Bo Pang , Yisong Chen , Guoping Wang , Sheng Li

Transient imaging has recently made a huge impact in the computer graphics and computer vision fields. By capturing, reconstructing, or simulating light transport at extreme temporal resolutions, researchers have proposed novel techniques…

Computer Vision and Pattern Recognition · Computer Science 2016-11-04 Adrian Jarabo , Belen Masia , Julio Marco , Diego Gutierrez

We present a real-time global illumination approach along with a pipeline for dynamic 3D Gaussian models and meshes. Building on a formulated surface light transport model for 3D Gaussians, we address key performance challenges with a fast…

Graphics · Computer Science 2026-04-30 Chenxiao Hu , Meng Gai , Guoping Wang , Sheng Li