A5053693732- Particle accelerators and beam dynamics
- Advanced Vision and Imaging
- Computer Graphics and Visualization Techniques
- Particle Accelerators and Free-Electron Lasers
- Superconducting Materials and Applications
- Historical and Religious Studies of Rome
- 3D Shape Modeling and Analysis
- Generative Adversarial Networks and Image Synthesis
- Plasma Diagnostics and Applications
- Renaissance and Early Modern Studies
- Magnetic confinement fusion research
- Renaissance Literature and Culture
- Image Processing and 3D Reconstruction
- Nuclear Physics and Applications
- Flexible and Reconfigurable Manufacturing Systems
- 3D Surveying and Cultural Heritage
- Human Pose and Action Recognition
- Adaptive optics and wavefront sensing
- Architecture and Art History Studies
- Cultural Heritage Materials Analysis
- Law and Political Science
- Optical Coatings and Gratings
- Pleistocene-Era Hominins and Archaeology
- Spacecraft and Cryogenic Technologies
- Art History and Market Analysis
META Health
2023
Technical University of Munich
2023
Princeton University
2020
University of British Columbia
2019
Von Ardenne (Germany)
2018
TRIUMF
2014-2017
Goethe University Frankfurt
2004
Worcester Art Museum
1979
We introduce DiffRF, a novel approach for 3D radiance field synthesis based on denoising diffusion probabilistic models. While existing diffusion-based methods operate images, latent codes, or point cloud data, we are the first to directly generate volumetric fields. To this end, propose model which operates an explicit voxel grid representation. However, as fields generated from set of posed images can be ambiguous and contain artifacts, obtaining ground truth samples is non-trivial....
We propose Panoptic Lifting, a novel approach for learning panoptic 3D volumetric representations from images of in-the-wild scenes. Once trained, our model can render color together with 3D-consistent segmentation viewpoints. Unlike existing approaches which use input directly or indirectly, method requires only machine-generated 2D masks inferred pre-trained network. Our core contribution is lifting scheme based on neural field representation that generates unified and multi-view...
We present Fillerbuster, a method that completes unknown regions of 3D scene by utilizing novel large-scale multi-view latent diffusion transformer. Casual captures are often sparse and miss surrounding content behind objects or above the scene. Existing methods not suitable for handling this challenge as they focus on making known pixels look good with sparse-view priors, creating missing sides from just one two photos. In reality, we have hundreds input frames want to complete areas...
Neural Radiance Fields (NeRF) have shown impressive novel view synthesis results; nonetheless, even thorough recordings yield imperfections in reconstructions, for instance due to poorly observed areas or minor lighting changes. Our goal is mitigate these from various sources with a joint solution: we take advantage of the ability generative adversarial networks (GANs) produce realistic images and use them enhance realism 3D scene reconstruction NeRFs. To this end, learn patch distribution...
ARIEL is the new TRIUMF facility for production of radioactive ion beams that will enable delivery three simultaneous RIB to ISAC experimental stations. Two additional target stations produce by using either a 50 kW proton or from 500 electrons via photofission. The electron beam driver going be MeV 10 mA CW superconducting linac. first stage e-linac installation completed and commissioning underway. paper present design characteristics, installation, strategy current results.
Funneling is a procedure to multiply beam currents at low energies which necessary for the proposed new high current accelerator facilities like HIDIF or ESS. can be done by several stages. The beams of LEBT's are merged in multiple stages any kind energy and funneling. main goal keep emittance nearly unchanged. Frankfurt funneling experiment consists two ion sources, two-beam RFQ accelerator, different deflectors diagnostic equipment system. whole set-up scaled He/sup +/ instead Bi/sup...
The LSST Coating Plant consists of a Chamber for high reflective optical coatings deposition and Cleaning Stripping Station the M1M3 M2 mirrors. sputtering process will be capable depositing bare protected Silver/Aluminum coating recipes. rotating washing/drying boom, perimeter platforms, an effluent handling system within M1/M3 mirror cell. This paper describes status construction effort at Von Ardenne MAN facilities. Progress on factory testing, review design features reflective/coating...
The ARIEL project at TRIUMF requires a 50 MeV superconducting electron linac consisting of five nine cell 1.3 GHz cavities divided into three cryomodules with one, two and in each module respectively. LHe is distributed parallel to 4 K ∼1.2 bar. Each has cryogenic insert on board that receives the liquid produces 2 cavity phase separator. combines separator, plate fin heat exchanger from DATE J-T valve expanding unit also supplies thermal intercepts siphon loops return vaporized reservoir....
3D asset generation is getting massive amounts of attention, inspired by the recent success text-guided 2D content creation. Existing text-to-3D methods use pretrained text-to-image diffusion models in an optimization problem or fine-tune them on synthetic data, which often results non-photorealistic objects without backgrounds. In this paper, we present a method that leverages as prior, and learn to generate multi-view images single denoising process from real-world data. Concretely,...
This paper proposes ConsistDreamer - a novel framework that lifts 2D diffusion models with 3D awareness and consistency, thus enabling high-fidelity instruction-guided scene editing. To overcome the fundamental limitation of missing consistency in models, our key insight is to introduce three synergetic strategies augment input model become 3D-aware explicitly enforce during training process. Specifically, we design surrounding views as context-rich for model, generate 3D-consistent,...
We introduce MultiDiff, a novel approach for consistent view synthesis of scenes from single RGB image. The task synthesizing views reference image is highly ill-posed by nature, as there exist multiple, plausible explanations unobserved areas. To address this issue, we incorporate strong priors in form monocular depth predictors and video-diffusion models. Monocular enables us to condition our model on warped images the target views, increasing geometric stability. prior provides proxy 3D...
We propose L3DG, the first approach for generative 3D modeling of Gaussians through a latent Gaussian diffusion formulation. This enables effective modeling, scaling to generation entire room-scale scenes which can be very efficiently rendered. To enable synthesis Gaussians, we formulation, operating in compressed space Gaussians. is learned by vector-quantized variational autoencoder (VQ-VAE), employ sparse convolutional architecture operate on scenes. way, complexity costly process via...
We present a novel diffusion-based approach for coherent 3D scene reconstruction from single RGB image. Our method utilizes an image-conditioned diffusion model to simultaneously denoise the poses and geometries of all objects within scene. Motivated by ill-posed nature task obtain consistent results, we learn generative prior conditioning on capture context allowing inter-object relationships throughout process. further propose efficient surface alignment loss facilitate training even in...
We present Surf-D, a novel method for generating high-quality 3D shapes as Surfaces with arbitrary topologies using Diffusion models. Previous methods explored shape generation different representations and they suffer from limited poor geometry details. To generate surfaces of topologies, we use the Unsigned Distance Field (UDF) our surface representation to accommodate topologies. Furthermore, propose new pipeline that employs point-based AutoEncoder learn compact continuous latent space...
Three methods of modelling the Virgin's blue mantle in early Italian painting are discussed. The first is three values, mentioned by Cennino Cennini Chapter CXL V his treatise; second two-value system, noted Cennino's VI; and third a schematic method indicating light shade that was not Cennino, but which appears four late fourteenth century Sienese paintings. author suggests latter technique originated Siena modification earlier depicting folds, such as found on thirteenth painting.