1,654 research outputs found
Are all things created equal? The incidental in archaeology
Archaeologists evince a strong tendency to impute significance to the material traces they study, a propensity that has been especially marked since the post-processual emphasis on meaning and that has taken on renewed vigour with the turn to materiality. But are there not situations in which things are rather incidental or insignificant? This set of essays emerged from a workshop held in Berlin in April 2018, in which a group of scholars was invited to discuss the place of the incidental in social life in general and in archaeology in particular. Rather than lengthy formal papers, we offer an introduction that presents a general set of reflections on the issue of the incidentalness of things, followed by essays that pursue particular directions raised by that introduction as well as our discussions in Berlin. It is our hope that these brief forays into a complex topic will stimulate further work on this subject
Direction-dependent turning leads to anisotropic diffusion and persistence
Cells and organisms follow aligned structures in their environment, a process that can generate persistent migration paths. Kinetic transport equations are a popular modelling tool for describing biological movements at the mesoscopic level, yet their formulations usually assume a constant turning rate. Here we relax this simplification, extending to include a turning rate that varies according to the anisotropy of a heterogeneous environment. We extend known methods of parabolic and hyperbolic scaling and apply the results to cell movement on micropatterned domains. We show that inclusion of orientation dependence in the turning rate can lead to persistence of motion in an otherwise fully symmetric environment and generate enhanced diffusion in structured domains
Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Blind face restoration is a highly ill-posed problem that often requires
auxiliary guidance to 1) improve the mapping from degraded inputs to desired
outputs, or 2) complement high-quality details lost in the inputs. In this
paper, we demonstrate that a learned discrete codebook prior in a small proxy
space largely reduces the uncertainty and ambiguity of restoration mapping by
casting blind face restoration as a code prediction task, while providing rich
visual atoms for generating high-quality faces. Under this paradigm, we propose
a Transformer-based prediction network, named CodeFormer, to model the global
composition and context of the low-quality faces for code prediction, enabling
the discovery of natural faces that closely approximate the target faces even
when the inputs are severely degraded. To enhance the adaptiveness for
different degradation, we also propose a controllable feature transformation
module that allows a flexible trade-off between fidelity and quality. Thanks to
the expressive codebook prior and global modeling, CodeFormer outperforms the
state of the arts in both quality and fidelity, showing superior robustness to
degradation. Extensive experimental results on synthetic and real-world
datasets verify the effectiveness of our method.Comment: Accepted by NeurIPS 2022. Code: https://github.com/sczhou/CodeForme
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Arylene-Bridged 2,2,5,5-Tetramethyl 2,5-Disila-1-Oxacyclopentanes as Precursors to Non-Shrinking Polysiloxanes. A New Route to Sol-Gel Type Polymers
Sol-gel chemistry has been the focus of much attention in the design and preparation of highly crosslinked polysiloxane gels. Preparation of sol-gel processed silica or polysilesquioxane gels is carried out by the hydrolysis and condensation of alkoxysilyl monomers, usually in the presence of catalytic acid or base and an excess of water. Removal of the alcohol and water byproducts of the condensation reactions, in addition to the alcohol needed to co-dissolve the hydrophobic monomers with water, leads to substantial shrinkage during drying of the resulting gels. This limits the utility of sol-gel processing for applications requiring net-shape casting of artifacts, crack free coatings, or low vaporous organic contaminants (VOCs). It would be advantageous to have a sol-gel process based on an organosilicon monomer that would not require water as a reactant or produce water and alcohol condensation products and still result in siloxane network polymers capable of forming gels. Here, the authors show the synthesis and preparation of a novel sol-gel monomer which can easily be polymerized by ring opening polymerization to give highly crosslinked polysiloxane gels with no condensation byproducts
Understanding Deformable Alignment in Video Super-Resolution
Deformable convolution, originally proposed for the adaptation to geometric
variations of objects, has recently shown compelling performance in aligning
multiple frames and is increasingly adopted for video super-resolution. Despite
its remarkable performance, its underlying mechanism for alignment remains
unclear. In this study, we carefully investigate the relation between
deformable alignment and the classic flow-based alignment. We show that
deformable convolution can be decomposed into a combination of spatial warping
and convolution. This decomposition reveals the commonality of deformable
alignment and flow-based alignment in formulation, but with a key difference in
their offset diversity. We further demonstrate through experiments that the
increased diversity in deformable alignment yields better-aligned features, and
hence significantly improves the quality of video super-resolution output.
Based on our observations, we propose an offset-fidelity loss that guides the
offset learning with optical flow. Experiments show that our loss successfully
avoids the overflow of offsets and alleviates the instability problem of
deformable alignment. Aside from the contributions to deformable alignment, our
formulation inspires a more flexible approach to introduce offset diversity to
flow-based alignment, improving its performance.Comment: Tech report, 15 pages, 19 figure
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