RD optimized auxiliary information for inpainting-based view synthesis

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We present an image-based pipeline for generating geometrical digital twins (GDTs) of stone masonry elements with detail down to the stone level. For this purpose, we acquire RGB images of the individual stones and of the wall during the construction phase ...

State-of-the-art 2D image compression schemes rely on the power of convolutional neural networks (CNNs). Although CNNs offer promising perspectives for 2D image compression, extending such models to omnidirectional images is not straightforward. First, omn ...

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There are many approaches to weakly-supervised training of networks to segment 2D images. By contrast, existing approaches to segmenting volumetric images rely on full-supervision of a subset of 2D slices of the 3D volume. We propose an approach to volume ...

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Physically based rendering is a process for photorealistic digital image synthesis and one of the core problems in computer graphics. It involves simulating the light transport, i.e. the emission, propagation, and scattering of light through a virtual scen ...

Differentiable physically-based rendering has become an indispensable tool for solving inverse problems involving light. Most applications in this area jointly optimize a large set of scene parameters to minimize an objective function, in which case revers ...

RD optimized auxiliary information for inpainting-based view synthesis

Chattez avec Graph Search

Image-based geometric digital twinning for stone masonry elements

OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression

Towards JPEG AIC part 3: visual quality assessment of high to visually lossless image coding

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering

Gazebo Fluids: SPH-based simulation of fluid interaction with articulated rigid body dynamics

Weakly Supervised Volumetric Image Segmentation with Deformed Templates

Perceptual Quality of Point Clouds with application to Compression

A Non-Exponential Transmittance Model for Volumetric Scene Representations

Light Path Gradients for Forward and Inverse Rendering

Path Replay Backpropagation: Differentiating Light Paths using Constant Memory and Linear Time