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Accurately measuring the translations of objects between images is essential in many fields, including biology, medicine, chemistry, and physics. One important application is tracking one or more particles by measuring their apparent…

Recently, deep learning-based denoising approaches have led to dramatic improvements in low sample-count Monte Carlo rendering. These approaches are aimed at path tracing, which is not ideal for simulating challenging light transport…

Graphics · Computer Science 2020-04-28 Shilin Zhu , Zexiang Xu , Henrik Wann Jensen , Hao Su , Ravi Ramamoorthi

Differentiable rendering methods promise the ability to optimize various parameters of 3d scenes to achieve a desired result. However, lighting design has so far received little attention in this field. In this paper, we introduce a method…

Graphics · Computer Science 2024-05-07 Lukas Lipp , David Hahn , Pierre Ecormier-Nocca , Florian Rist , Michael Wimmer

Implicit neural representations (INRs) have significantly advanced the field of arbitrary-scale super-resolution (ASSR) of images. Most existing INR-based ASSR networks first extract features from the given low-resolution image using an…

Computer Vision and Pattern Recognition · Computer Science 2024-07-26 Jintong Hu , Bin Xia , Bin Chen , Wenming Yang , Lei Zhang

We present a dense simultaneous localization and mapping (SLAM) method that uses 3D Gaussians as a scene representation. Our approach enables interactive-time reconstruction and photo-realistic rendering from real-world single-camera RGBD…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Vladimir Yugay , Yue Li , Theo Gevers , Martin R. Oswald

This paper presents a comprehensive study of interactive rendering techniques for large 3D line sets with transparency. The rendering of transparent lines is widely used for visualizing trajectories of tracer particles in flow fields.…

Graphics · Computer Science 2020-08-03 Michael Kern , Christoph Neuhauser , Torben Maack , Mengjiao Han , Will Usher , Rüdiger Westermann

Algorithmic differentiable ray tracing is a new paradigm that allows one to solve the forward problem of how light propagates through an optical system while obtaining gradients of the simulation results with respect to parameters…

Optics · Physics 2023-09-26 Bart de Koning , Alexander Heemels , Aurèle Adam , Matthias Möller

Physically based rendering is a discipline in computer graphics which aims at reproducing certain light and material appearances that occur in the real world. Complex scenes can be difficult to compute for rendering algorithms. This paper…

Graphics · Computer Science 2020-09-01 Elias Brugger , Christian Freude , Michael Wimmer

We propose a path-guiding algorithm to be incorporated into the wavefront style of path tracers (WFPTs). As WFPTs are primarily implemented on graphics processing units (GPUs), the proposed method aims to leverage the capabilities of the…

Graphics · Computer Science 2024-05-14 Bora Yalçıner , Ahmet Oğuz Akyüz

Primitive-based splatting methods like 3D Gaussian Splatting have revolutionized novel view synthesis with real-time rendering. However, their point-based representations remain incompatible with mesh-based pipelines that power AR/VR and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Jan Held , Sanghyun Son , Renaud Vandeghen , Daniel Rebain , Matheus Gadelha , Yi Zhou , Anthony Cioppa , Ming C. Lin , Marc Van Droogenbroeck , Andrea Tagliasacchi

Tracking and mapping in large-scale, unbounded outdoor environments using only monocular RGB input presents substantial challenges for existing SLAM systems. Traditional Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) SLAM…

Robotics · Computer Science 2025-06-11 Kai Deng , Yigong Zhang , Jian Yang , Jin Xie

An excellent representation is crucial for reinforcement learning (RL) performance, especially in vision-based reinforcement learning tasks. The quality of the environment representation directly influences the achievement of the learning…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Jiaxu Wang , Qiang Zhang , Jingkai Sun , Jiahang Cao , Gang Han , Wen Zhao , Weining Zhang , Yecheng Shao , Yijie Guo , Renjing Xu

3D Gaussian Splatting (3DGS) is an increasingly popular novel view synthesis approach due to its fast rendering time, and high-quality output. However, scaling 3DGS to large (or intricate) scenes is challenging due to its large memory…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Hexu Zhao , Xiwen Min , Xiaoteng Liu , Moonjun Gong , Yiming Li , Ang Li , Saining Xie , Jinyang Li , Aurojit Panda

Recent 3D Gaussian Splatting (3DGS) methods have demonstrated the feasibility of self-driving scene reconstruction and novel view synthesis. However, most existing methods either rely solely on cameras or use LiDAR only for Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 ZY Chen , F Zhu , H Zhu , DY Kong , XK Kuang , YJ Zhang , CM Jiang

This paper presents a GPU implementation of two foreground object segmentation algorithms: Gaussian Mixture Model (GMM) and Pixel Based Adaptive Segmenter (PBAS) modified for RGB-D data support. The simultaneous use of colour (RGB) and…

Computer Vision and Pattern Recognition · Computer Science 2020-07-02 Piotr Janus , Tomasz Kryjak , Marek Gorgon

Rendering volumetric scattering media, including clouds, fog, smoke, and other complex materials, is crucial for realism in computer graphics. Traditional path tracing, while unbiased, requires many long path samples to converge in scenes…

Graphics · Computer Science 2024-04-19 Becky Hu , Xi Deng , Fujun Luan , Miloš Hašan , Steve Marschner

Rendering realistic images with global illumination is a computationally demanding task and often requires dedicated hardware for feasible runtime. Recent research uses Deep Neural Networks to predict indirect lighting on image level, but…

Graphics · Computer Science 2020-07-31 Giulio Jiang , Bernhard Kainz

3D Gaussian Splatting (3DGS) is increasingly popular for 3D reconstruction due to its superior visual quality and rendering speed. However, 3DGS training currently occurs on a single GPU, limiting its ability to handle high-resolution and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Hexu Zhao , Haoyang Weng , Daohan Lu , Ang Li , Jinyang Li , Aurojit Panda , Saining Xie

Reconstructing complex reflections in real-world scenes from 2D images is essential for achieving photorealistic novel view synthesis. Existing methods that utilize environment maps to model reflections from distant lighting often struggle…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Tao Xie , Xi Chen , Zhen Xu , Yiman Xie , Yudong Jin , Yujun Shen , Sida Peng , Hujun Bao , Xiaowei Zhou

Ray tracing (RT) is a 3D graphics technique that offers highly realistic visuals. It is becoming prominent and accessible as GPU vendors have integrated dedicated ray tracing acceleration hardware. However, tracing millions of rays through…

Hardware Architecture · Computer Science 2026-05-18 Yavuz Selim Tozlu , Anshul Naithani , Huiyang Zhou
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