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Novel-view synthesis aims to generate novel views of a scene from multiple input images or videos, and recent advancements like 3D Gaussian splatting (3DGS) have achieved notable success in producing photorealistic renderings with efficient…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Xi Liu , Chaoyi Zhou , Siyu Huang

High dynamic range (HDR) videos provide a more visually realistic experience than the standard low dynamic range (LDR) videos. Despite having significant progress in HDR imaging, it is still a challenging task to capture high-quality HDR…

Image and Video Processing · Electrical Eng. & Systems 2021-11-04 Mrinal Anand , Nidhin Harilal , Chandan Kumar , Shanmuganathan Raman

Implicit neural representation and explicit 3D Gaussian Splatting (3D-GS) for novel view synthesis have achieved remarkable progress with frame-based camera (e.g. RGB and RGB-D cameras) recently. Compared to frame-based camera, a novel type…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Jian Huang , Chengrui Dong , Xuanhua Chen , Peidong Liu

High-fidelity reconstruction of driving scenes is crucial for autonomous driving. While recent feedforward 3D Gaussian Splatting (3DGS) methods enable fast reconstruction, their per-pixel Gaussian prediction paradigm often suffers from…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Cheng Chi , Xianqi Wang , Hongcheng Luo , Mingfei Tu , Gangwei Xu , Zehan Zhang , Bing Wang , Guang Chen , Hangjun Ye , Sida Peng , Xin Yang , Haiyang Sun

The growing prevalence of high-resolution displays on edge devices has created a pressing need for efficient high dynamic range (HDR) imaging algorithms. However, most existing HDR methods either struggle to deliver satisfactory visual…

Image and Video Processing · Electrical Eng. & Systems 2026-02-11 Qirui Yang , Yihao Liu , Qihua Cheng , Huanjing Yue , Kun Li , Jingyu Yang

We propose GS-IR, a novel inverse rendering approach based on 3D Gaussian Splatting (GS) that leverages forward mapping volume rendering to achieve photorealistic novel view synthesis and relighting results. Unlike previous works that use…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Zhihao Liang , Qi Zhang , Ying Feng , Ying Shan , Kui Jia

Existing Gaussian splatting methods often fall short in achieving satisfactory novel view synthesis in driving scenes, primarily due to the absence of crafty designs and geometric constraints for the involved elements. This paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Xi Shi , Lingli Chen , Peng Wei , Xi Wu , Tian Jiang , Yonggang Luo , Lecheng Xie

High dynamic range (HDR) image synthesis from multiple low dynamic range (LDR) exposures continues to be actively researched. The extension to HDR video synthesis is a topic of significant current interest due to potential cost benefits.…

Computer Vision and Pattern Recognition · Computer Science 2017-04-05 Yuelong Li , Chul Lee , Vishal Monga

High dynamic range (HDR) imaging is a crucial task in computational photography, which captures details across diverse lighting conditions. Traditional HDR fusion methods face limitations in dynamic scenes with extreme exposure differences,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Shi Guo , Zixuan Chen , Ziran Zhang , Yutian Chen , Gangwei Xu , Tianfan Xue

We present a novel framework for high-fidelity novel view synthesis (NVS) from sparse images, addressing key limitations in recent feed-forward 3D Gaussian Splatting (3DGS) methods built on Vision Transformer (ViT) backbones. While…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Yitong Dong , Qi Zhang , Minchao Jiang , Zhiqiang Wu , Qingnan Fan , Ying Feng , Huaqi Zhang , Hujun Bao , Guofeng Zhang

Stack-based high dynamic range (HDR) imaging is a technique for achieving a larger dynamic range in an image by combining several low dynamic range images acquired at different exposures. Minimizing the set of images to combine, while…

Computer Vision and Pattern Recognition · Computer Science 2018-06-21 Peter van Beek

This paper tackles high-dynamic-range (HDR) image reconstruction given only a single low-dynamic-range (LDR) image as input. While the existing methods focus on minimizing the mean-squared-error (MSE) between the target and reconstructed…

Computer Vision and Pattern Recognition · Computer Science 2018-12-19 Kenta Moriwaki , Ryota Yoshihashi , Rei Kawakami , Shaodi You , Takeshi Naemura

Photorealistic 3D scene reconstruction plays an important role in autonomous driving, enabling the generation of novel data from existing datasets to simulate safety-critical scenarios and expand training data without additional acquisition…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Pou-Chun Kung , Xianling Zhang , Katherine A. Skinner , Nikita Jaipuria

Recently, 3D Gaussian Splatting (3DGS) has exceled in novel view synthesis (NVS) with its real-time rendering capabilities and superior quality. However, it faces challenges for high-resolution novel view synthesis (HRNVS) due to the coarse…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Shiyun Xie , Zhiru Wang , Xu Wang , Yinghao Zhu , Chengwei Pan , Xiwang Dong

High dynamic range (HDR) video reconstruction is attracting more and more attention due to the superior visual quality compared with those of low dynamic range (LDR) videos. The availability of LDR-HDR training pairs is essential for the…

Image and Video Processing · Electrical Eng. & Systems 2023-04-14 Huanjing Yue , Yubo Peng , Biting Yu , Xuanwu Yin , Zhenyu Zhou , Jingyu Yang

High dynamic range (HDR) imaging provides the capability of handling real world lighting as opposed to the traditional low dynamic range (LDR) which struggles to accurately represent images with higher dynamic range. However, most imaging…

Computer Vision and Pattern Recognition · Computer Science 2019-09-05 Demetris Marnerides , Thomas Bashford-Rogers , Jonathan Hatchett , Kurt Debattista

Event cameras are innovative neuromorphic sensors that asynchronously capture the scene dynamics. Due to the event-triggering mechanism, such cameras record event streams with much shorter response latency and higher intensity sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Yunhao Zou , Ying Fu , Tsuyoshi Takatani , Yinqiang Zheng

High dynamic range (HDR) imaging under extreme illumination remains challenging for conventional cameras due to overexposure. Event cameras provide microsecond temporal resolution and high dynamic range, while spatially varying exposure…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Pengju Sun , Banglei Guan , Jing Tao , Zhenbao Yu , Xuanyu Bai , Yang Shang , Qifeng Yu

High Dynamic Range (HDR) 3D reconstruction is pivotal for professional content creation in filmmaking and virtual production. Existing methods typically rely on multi-exposure Low Dynamic Range (LDR) supervision to constrain the learning…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Kaixuan Zhang , Minxian Li , Mingwu Ren , Jiankang Deng , Xiatian Zhu

3D Gaussian splatting enables high-quality novel view synthesis (NVS) at real-time frame rates. However, its quality drops sharply as we depart from the training views. Thus, dense captures are needed to match the high-quality expectations…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Tobias Fischer , Samuel Rota Bulò , Yung-Hsu Yang , Nikhil Keetha , Lorenzo Porzi , Norman Müller , Katja Schwarz , Jonathon Luiten , Marc Pollefeys , Peter Kontschieder