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The field of novel view synthesis from images has seen rapid advancements with the introduction of Neural Radiance Fields (NeRF) and more recently with 3D Gaussian Splatting. Gaussian Splatting became widely adopted due to its efficiency…

Computer Vision and Pattern Recognition · Computer Science 2024-11-07 Ruihong Yin , Vladimir Yugay , Yue Li , Sezer Karaoglu , Theo Gevers

Novel view synthesis of dynamic scenes is becoming important in various applications, including augmented and virtual reality. We propose a novel 4D Gaussian Splatting (4DGS) algorithm for dynamic scenes from casually recorded monocular…

Computer Vision and Pattern Recognition · Computer Science 2024-11-14 Mijeong Kim , Jongwoo Lim , Bohyung Han

We introduce Free3D, a simple accurate method for monocular open-set novel view synthesis (NVS). Similar to Zero-1-to-3, we start from a pre-trained 2D image generator for generalization, and fine-tune it for NVS. Compared to other works…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Chuanxia Zheng , Andrea Vedaldi

We propose FlashWorld, a generative model that produces 3D scenes from a single image or text prompt in seconds, 10~100$\times$ faster than previous works while possessing superior rendering quality. Our approach shifts from the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Xinyang Li , Tengfei Wang , Zixiao Gu , Shengchuan Zhang , Chunchao Guo , Liujuan Cao

Deep high dynamic range (HDR) imaging as an image translation issue has achieved great performance without explicit optical flow alignment. However, challenges remain over content association ambiguities especially caused by saturation and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Hui Li , Xuyang Yao , Wuyuan Xie , Miaohui Wang

Real-time, high-fidelity reconstruction of dynamic driving scenes is challenged by complex dynamics and sparse views, with prior methods struggling to balance quality and efficiency. We propose DrivingScene, an online, feed-forward…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Qirui Hou , Wenzhang Sun , Chang Zeng , Chunfeng Wang , Hao Li , Jianxun Cui

HDR reconstruction is an important task in computer vision with many industrial needs. The traditional approaches merge multiple exposure shots to generate HDRs that correspond to the physical quantity of illuminance of the scene. However,…

Computer Vision and Pattern Recognition · Computer Science 2021-03-25 Wei Wei , Li Guan , Yue Liu , Hao Kang , Haoxiang Li , Ying Wu , Gang Hua

Recent High Dynamic Range (HDR) techniques extend the capabilities of current cameras where scenes with a wide range of illumination can not be accurately captured with a single low-dynamic-range (LDR) image. This is generally accomplished…

Computer Vision and Pattern Recognition · Computer Science 2022-04-26 Michal Nazarczuk , Sibi Catley-Chandar , Ales Leonardis , Eduardo Pérez-Pellitero

3D Gaussian Splatting (3DGS) enables high-quality novel view synthesis, motivating interest in generating higher-resolution renders than those available during training. A natural strategy is to apply super-resolution (SR) to low-resolution…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Pranav Asthana , Alex Hanson , Allen Tu , Tom Goldstein , Matthias Zwicker , Amitabh Varshney

Editing High Dynamic Range (HDR) environment maps using an inverse differentiable rendering architecture is a complex inverse problem due to the sparsity of relevant pixels and the challenges in balancing light sources and background. The…

Computer Vision and Pattern Recognition · Computer Science 2024-10-25 Antonio D'Orazio , Davide Sforza , Fabio Pellacini , Iacopo Masi

This paper aims to tackle the challenge of dynamic view synthesis from multi-view videos. The key observation is that while previous grid-based methods offer consistent rendering, they fall short in capturing appearance details of a complex…

Computer Vision and Pattern Recognition · Computer Science 2023-10-13 Haotong Lin , Sida Peng , Zhen Xu , Tao Xie , Xingyi He , Hujun Bao , Xiaowei Zhou

A single rolling-shutter (RS) image may be viewed as a row-wise combination of a sequence of global-shutter (GS) images captured by a (virtual) moving GS camera within the exposure duration. Although RS cameras are widely used, the RS…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Bin Fan , Yuchao Dai , Hongdong Li

The high dynamic range (HDR) video ecosystem is approaching maturity, but the problem of upconverting legacy standard dynamic range (SDR) videos persists without a convincing solution. We propose a framework for HDR video synthesis from…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 SaiKiran Tedla , Francesco Banterle , Trevor Canham , Karanpreet Raja , David B. Lindell , Kiriakos N. Kutulakos , Jiacheng Li , Feiran Li , Daisuke Iso

High dynamic range (HDR) video reconstruction aims to generate HDR videos from low dynamic range (LDR) frames captured with alternating exposures. Most existing works solely rely on the regression-based paradigm, leading to adverse effects…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Yuanshen Guan , Ruikang Xu , Mingde Yao , Ruisheng Gao , Lizhi Wang , Zhiwei Xiong

Light field displays (LFDs) require rendering an interlaced image that encodes many view-dependent observations. This multi-view requirement introduces substantial computational overhead, making real-time rendering difficult to achieve.…

Graphics · Computer Science 2026-05-07 Gyujin Sim , Seungjoo Shin , Hosung Jeon , Gwangsoon Lee , Hyon-Gon Choo , Sunghyun Cho

Real-time free-viewpoint rendering requires balancing multi-camera redundancy with the latency constraints of interactive applications. We address this challenge by combining lightweight geometry with learning and propose 3DTV, a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Stefan Schulz , Fernando Edelstein , Hannah Dröge , Matthias B. Hullin , Markus Plack

Radiance fields represented by 3D Gaussians excel at synthesizing novel views, offering both high training efficiency and fast rendering. However, with sparse input views, the lack of multi-view consistency constraints results in poorly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Yuru Xiao , Deming Zhai , Wenbo Zhao , Kui Jiang , Junjun Jiang , Xianming Liu

Immersive displays such as VR headsets, AR glasses, Multiview displays, Free point televisions have emerged as a new class of display technologies in recent years, offering a better visual experience and viewer engagement as compared to…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Rohit Choudhary , Mansi Sharma , Aditya Wadaskar

Synthesizing novel views from monocular videos of dynamic scenes remains a challenging problem. Scene-specific methods that optimize 4D representations with explicit motion priors often break down in highly dynamic regions where multi-view…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Thomas Tanay , Mohammed Brahimi , Michal Nazarczuk , Qingwen Zhang , Sibi Catley-Chandar , Arthur Moreau , Zhensong Zhang , Eduardo Pérez-Pellitero

Recently, 3D Gaussian Splatting (3DGS) has attracted widespread attention due to its high-quality rendering, and ultra-fast training and rendering speed. However, due to the unstructured and irregular nature of Gaussian point clouds, it is…

Computer Vision and Pattern Recognition · Computer Science 2025-01-13 Danpeng Chen , Hai Li , Weicai Ye , Yifan Wang , Weijian Xie , Shangjin Zhai , Nan Wang , Haomin Liu , Hujun Bao , Guofeng Zhang