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Image editing and compositing have become ubiquitous in entertainment, from digital art to AR and VR experiences. To produce beautiful composites, the camera needs to be geometrically calibrated, which can be tedious and requires a physical…

Computer Vision and Pattern Recognition · Computer Science 2023-07-28 Yannick Hold-Geoffroy , Dominique Piché-Meunier , Kalyan Sunkavalli , Jean-Charles Bazin , François Rameau , Jean-François Lalonde

This paper proposes a novel framework to evaluate fluid simulation methods based on crowd-sourced user studies in order to robustly gather large numbers of opinions. The key idea for a robust and reliable evaluation is to use a reference…

Graphics · Computer Science 2020-11-23 Kiwon Um , Xiangyu Hu , Nils Thuerey

Modern deep-learning super-resolution (SR) techniques process images and videos independently of the underlying content and viewing conditions. However, the sensitivity of the human visual system (HVS) to image details changes depending on…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Volodymyr Karpenko , Taimoor Tariq , Jorge Condor , Piotr Didyk

We present a classification based approach for the next best view selection and show how we can plausibly obtain a supervisory signal for this task. The proposed approach is end-to-end trainable and aims to get the best possible 3D…

Computer Vision and Pattern Recognition · Computer Science 2020-12-04 Kumar Ashutosh , Saurabh Kumar , Subhasis Chaudhuri

Over the past decade, 3D graphics have become highly detailed to mimic the real world, exploding their size and complexity. Certain applications and device constraints necessitate their simplification and/or lossy compression, which can…

Accurate volume estimation of objects from visual data is a long-standing challenge in computer vision with significant applications in robotics, logistics, and smart health. Existing methods often rely on complex 3D reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Gautham Vinod , Bruce Coburn , Siddeshwar Raghavan , Fengqing Zhu

This paper aims to address the challenge of reconstructing long volumetric videos from multi-view RGB videos. Recent dynamic view synthesis methods leverage powerful 4D representations, like feature grids or point cloud sequences, to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-13 Zhen Xu , Yinghao Xu , Zhiyuan Yu , Sida Peng , Jiaming Sun , Hujun Bao , Xiaowei Zhou

Generative models have demonstrated remarkable capability in synthesizing high-quality text, images, and videos. For video generation, contemporary text-to-video models exhibit impressive capabilities, crafting visually stunning videos.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Jay Zhangjie Wu , Guian Fang , Haoning Wu , Xintao Wang , Yixiao Ge , Xiaodong Cun , David Junhao Zhang , Jia-Wei Liu , Yuchao Gu , Rui Zhao , Weisi Lin , Wynne Hsu , Ying Shan , Mike Zheng Shou

With the growing data consumption of emerging video applications and users requirement for higher resolutions, up to 8K, a huge effort has been made in video compression technologies. Recently, versatile video coding (VVC) has been…

Image and Video Processing · Electrical Eng. & Systems 2021-12-21 Charles Bonnineau , Wassim Hamidouche , Jerome Fournier , Naty Sidaty , Jean-Francois Travers , Olivier Deforges

We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX…

Computer Vision and Pattern Recognition · Computer Science 2021-08-27 Shanchuan Lin , Linjie Yang , Imran Saleemi , Soumyadip Sengupta

We introduce HyperGS, a novel framework for Hyperspectral Novel View Synthesis (HNVS), based on a new latent 3D Gaussian Splatting (3DGS) technique. Our approach enables simultaneous spatial and spectral renderings by encoding material…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Christopher Thirgood , Oscar Mendez , Erin Chao Ling , Jon Storey , Simon Hadfield

We present Stable Video 3D (SV3D) -- a latent video diffusion model for high-resolution, image-to-multi-view generation of orbital videos around a 3D object. Recent work on 3D generation propose techniques to adapt 2D generative models for…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Vikram Voleti , Chun-Han Yao , Mark Boss , Adam Letts , David Pankratz , Dmitry Tochilkin , Christian Laforte , Robin Rombach , Varun Jampani

Photo-realistic novel view synthesis from multi-view images, such as neural radiance field (NeRF) and 3D Gaussian Splatting (3DGS), has gained significant attention for its superior performance. However, most existing methods rely on low…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Shucheng Gong , Lingzhe Zhao , Wenpu Li , Hong Xie , Yin Zhang , Shiyu Zhao , Peidong Liu

Low-light image enhancement is a promising solution to tackle the problem of insufficient sensitivity of human vision system (HVS) to perceive information in low light environments. Previous Retinex-based works always accomplish enhancement…

Image and Video Processing · Electrical Eng. & Systems 2020-05-18 Xiaoxiao Li , Xiaopeng Guo , Liye Mei , Mingyu Shang , Jie Gao , Maojing Shu , Xiang Wang

Existing 3D human pose estimation algorithms trained on distortion-free datasets suffer performance drop when applied to new scenarios with a specific camera distortion. In this paper, we propose a simple yet effective model for 3D human…

Computer Vision and Pattern Recognition · Computer Science 2021-12-06 Hanbyel Cho , Yooshin Cho , Jaemyung Yu , Junmo Kim

Current perceptual similarity metrics operate at the level of pixels and patches. These metrics compare images in terms of their low-level colors and textures, but fail to capture mid-level similarities and differences in image layout,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Stephanie Fu , Netanel Tamir , Shobhita Sundaram , Lucy Chai , Richard Zhang , Tali Dekel , Phillip Isola

Event-based cameras asynchronously capture individual visual changes in a scene. This makes them more robust than traditional frame-based cameras to highly dynamic motions and poor illumination. It also means that every measurement in a…

Robotics · Computer Science 2023-09-14 Jianeng Wang , Jonathan D. Gammell

We introduce a novel cross-reference image quality assessment method that effectively fills the gap in the image assessment landscape, complementing the array of established evaluation schemes -- ranging from full-reference metrics like…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Zirui Wang , Wenjing Bian , Victor Adrian Prisacariu

Humans are in constant contact with the world as they move through it and interact with it. This contact is a vital source of information for understanding 3D humans, 3D scenes, and the interactions between them. In fact, we demonstrate…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Hongwei Yi , Chun-Hao P. Huang , Dimitrios Tzionas , Muhammed Kocabas , Mohamed Hassan , Siyu Tang , Justus Thies , Michael J. Black

3D video coding is one of the most popular research area in multimedia. This paper reviews the recent progress of the coding technologies for multiview video (MVV) and free view-point video (FVV) which is represented by MVV and depth maps.…

Multimedia · Computer Science 2015-12-31 Qifei Wang