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Related papers: EasyPBR: A Lightweight Physically-Based Renderer

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Differentiable renderers provide a direct mathematical link between an object's 3D representation and images of that object. In this work, we develop an approximate differentiable renderer for a compact, interpretable representation, which…

Computer Vision and Pattern Recognition · Computer Science 2022-07-22 Leonid Keselman , Martial Hebert

We propose Pulsar, an efficient sphere-based differentiable renderer that is orders of magnitude faster than competing techniques, modular, and easy-to-use due to its tight integration with PyTorch. Differentiable rendering is the…

Graphics · Computer Science 2020-12-23 Christoph Lassner , Michael Zollhöfer

We present a efficient multi-view inverse rendering method for large-scale real-world indoor scenes that reconstructs global illumination and physically-reasonable SVBRDFs. Unlike previous representations, where the global illumination of…

Computer Vision and Pattern Recognition · Computer Science 2023-03-22 Zhen Li , Lingli Wang , Mofang Cheng , Cihui Pan , Jiaqi Yang

There is increased interest in using generative AI to create 3D spaces for Virtual Reality (VR) applications. However, today's models produce artificial environments, falling short of supporting collaborative tasks that benefit from…

Artificial Intelligence · Computer Science 2024-09-24 Nels Numan , Shwetha Rajaram , Balasaravanan Thoravi Kumaravel , Nicolai Marquardt , Andrew D. Wilson

Texture and material blending is one of the leading methods for adding variety to rendered virtual worlds, creating composite materials, and generating procedural content. When done naively, it can introduce either visible seams or contrast…

Graphics · Computer Science 2025-02-20 Bartlomiej Wronski

Recent diffusion-based video generation models can synthesize visually plausible videos, yet they often struggle to satisfy physical constraints. A key reason is that most existing approaches remain single-stage: they entangle high-level…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Yibo Zhao , Hengjia Li , Xiaofei He , Boxi Wu

The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental technique to generate new views in 3D video applications, such as Multi-View Videos (MVV), Free-Viewpoint Videos (FVV) and Virtual Reality (VR). However, the quality…

Image and Video Processing · Electrical Eng. & Systems 2021-04-28 Shishun Tian , Lu Zhang , Wenbin Zou , Xia Li , Ting Su , Luce Morin , Olivier Deforges

Physical reservoir computing (PRC) is a computing framework that harnesses the intrinsic dynamics of physical systems for computation. It offers a promising energy-efficient alternative to traditional von Neumann computing for certain…

Computational Engineering, Finance, and Science · Computer Science 2024-10-25 Harry Youel , Daniel Prestwood , Oscar Lee , Tianyi Wei , Kilian D. Stenning , Jack C. Gartside , Will R. Branford , Karin Everschor-Sitte , Hidekazu Kurebayashi

Virtual Reality systems provide many opportunities for scientific research and consumer enjoyment; however, they are more demanding than traditional desktop applications and require a wired connection to desktops in order to enjoy maximum…

Graphics · Computer Science 2023-03-30 Ville Cantory , Nathan Ringo

We are living in the big data age: An ever increasing amount of data is being produced through data acquisition and computer simulations. While large scale analysis and simulations have received significant attention for cloud and…

Graphics · Computer Science 2019-02-26 Stefan Eilemann

We present a novel Relightable Neural Renderer (RNR) for simultaneous view synthesis and relighting using multi-view image inputs. Existing neural rendering (NR) does not explicitly model the physical rendering process and hence has limited…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Zhang Chen , Anpei Chen , Guli Zhang , Chengyuan Wang , Yu Ji , Kiriakos N. Kutulakos , Jingyi Yu

In this paper, we propose a method to extract physically-based rendering (PBR) materials from a single real-world image. We do so in two steps: first, we map regions of the image to material concepts using a diffusion model, which allows…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Ivan Lopes , Fabio Pizzati , Raoul de Charette

Researchers face a persistent barrier when applying computational algorithms with parameter configuration typically demanding programming skills, interfaces differing across environments, and settings rarely persisting between sessions.…

There is a need for open-source libraries in emission tomography that (i) use modern and popular backend code to encourage community contributions and (ii) offer support for the multitude of reconstruction techniques available in recent…

Creating realistic virtual assets is a time-consuming process: it usually involves an artist designing the object, then spending a lot of effort on tweaking its appearance. Intricate details and certain effects, such as subsurface…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Aljaž Božič , Denis Gladkov , Luke Doukakis , Christoph Lassner

We propose LiteReality, a novel pipeline that converts RGB-D scans of indoor environments into compact, realistic, and interactive 3D virtual replicas. LiteReality not only reconstructs scenes that visually resemble reality but also…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Zhening Huang , Xiaoyang Wu , Fangcheng Zhong , Hengshuang Zhao , Matthias Nießner , Joan Lasenby

This paper presents a framework that fully leverages the advantages of a deferred rendering approach for the interactive visualization of large-scale datasets. Geometry buffers (G-Buffers) are generated and stored in situ, and shading is…

Physically Based Rendering (PBR) materials play a crucial role in modern graphics, enabling photorealistic rendering across diverse environment maps. Developing an effective and efficient algorithm that is capable of automatically…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Bojun Xiong , Jialun Liu , Jiakui Hu , Chenming Wu , Jinbo Wu , Xing Liu , Chen Zhao , Errui Ding , Zhouhui Lian

Generating high-quality physically based rendering (PBR) materials is important to achieve realistic rendering in the downstream tasks, yet it remains challenging due to the intertwined effects of materials and lighting. While existing…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Xiaokang Wei , Bowen Zhang , Xianghui Yang , Yuxuan Wang , Chunchao Guo , Xi Zhao , Yan Luximon

Deep learning-based garment draping has emerged as a promising alternative to traditional Physics-Based Simulation (PBS), yet robust collision handling remains a critical bottleneck. Most existing methods enforce physical validity through…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Minghai Chen , Mingyuan Liu , Ning Ma , Jianqing Li , Yuxiang Huan