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High-fidelity parallel entangling gates on a neutral-atom quantum computer [PDF]
Nature, 2023 The ability to perform entangling quantum operations with low error rates in a scalable fashion is a central element of useful quantum information processing^ 1 .
Simon J Evered +2 more
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Erasure conversion in a high-fidelity Rydberg quantum simulator [PDF]
Nature, 2023 Minimizing and understanding errors is critical for quantum science, both in noisy intermediate scale quantum (NISQ) devices^ 1 and for the quest towards fault-tolerant quantum computation^ 2 , 3 .
, , Manuel Endres
exaly +2 more sources
Printability and Shape Fidelity of Bioinks in 3D Bioprinting
Chemical Reviews, 2020 Three-dimensional bioprinting uses additive manufacturing techniques for the automated fabrication of hierarchically organized living constructs. The building blocks are often hydrogel-based bioinks, which need to be printed into structures with high ...
Andrea Schwab +2 more
exaly +2 more sources
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation [PDF]
Neural Information Processing Systems, 2023 Score distillation sampling (SDS) has shown great promise in text-to-3D generation by distilling pretrained large-scale text-to-image diffusion models, but suffers from over-saturation, over-smoothing, and low-diversity problems. In this work, we propose
Zhengyi Wang +6 more
semanticscholar +1 more source
High-Fidelity Audio Compression with Improved RVQGAN [PDF]
Neural Information Processing Systems, 2023 Language models have been successfully used to model natural signals, such as images, speech, and music. A key component of these models is a high quality neural compression model that can compress high-dimensional natural signals into lower dimensional ...
Rithesh Kumar +4 more
semanticscholar +1 more source
High Fidelity Neural Audio Compression [PDF]
Trans. Mach. Learn. Res., 2022 We introduce a state-of-the-art real-time, high-fidelity, audio codec leveraging neural networks. It consists in a streaming encoder-decoder architecture with quantized latent space trained in an end-to-end fashion.
Alexandre D'efossez +3 more
semanticscholar +1 more source
Neuralangelo: High-Fidelity Neural Surface Reconstruction [PDF]
Computer Vision and Pattern Recognition, 2023 Neural surface reconstruction has been shown to be powerful for recovering dense 3D surfaces via image-based neural rendering. However, current methods struggle to recover detailed structures of real-world scenes.
Zhaoshuo Li +6 more
semanticscholar +1 more source
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction [PDF]
Computer Vision and Pattern Recognition, 2023 Implicit neural representation has paved the way for new approaches to dynamic scene reconstruction. Nonetheless, cutting-edge dynamic neural rendering methods rely heavily on these implicit representations, which frequently struggle to capture the ...
Ziyi Yang +5 more
semanticscholar +1 more source
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes [PDF]
IEEE International Conference on Computer Vision, 2023 We present ScanNet++, a large-scale dataset that couples together capture of high-quality and commodity-level geometry and color of indoor scenes. Each scene is captured with a high-end laser scanner at sub-millimeter resolution, along with registered 33-
Chandan Yeshwanth +3 more
semanticscholar +1 more source
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis [PDF]
International Conference on Learning Representations, 2023 Generating photo-realistic video portrait with arbitrary speech audio is a crucial problem in film-making and virtual reality. Recently, several works explore the usage of neural radiance field in this task to improve 3D realness and image fidelity ...
Zhenhui Ye +5 more
semanticscholar +1 more source