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Genetic control of grain appearance quality in rice
Biotechnology Advances, 2022 Grain appearance, one of the key determinants of rice quality, reflects the ability to attract consumers, and is characterized by four major properties: grain shape, chalkiness, transparency, and color.
Changquan Zhang +2 more
exaly +2 more sources
Deep appearance models for face rendering [PDF]
ACM Transactions on Graphics, 2018 We introduce a deep appearance model for rendering the human face. Inspired by Active Appearance Models, we develop a data-driven rendering pipeline that learns a joint representation of facial geometry and appearance from a multiview capture setup ...
Stephen Lombardi +2 more
exaly +2 more sources
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance [PDF]
Computer Vision and Pattern Recognition, 2023 We introduce k-planes, a white-box model for radiance fields in arbitrary dimensions. Our model uses planes to represent a d-dimensional scene, providing a seamless way to go from static (d = 3) to dynamic (d= 4) scenes.
Sara Fridovich-Keil +4 more
semanticscholar +1 more source
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields [PDF]
Computer Vision and Pattern Recognition, 2021 Neural Radiance Fields (NeRF) is a popular view synthesis technique that represents a scene as a continuous volumetric function, parameterized by multilayer perceptrons that provide the volume density and view-dependent emitted radiance at each location.
Dor Verbin +5 more
semanticscholar +1 more source
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion [PDF]
Computer Vision and Pattern Recognition, 2021 A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization, and following re-identification (re-ID)for object association.
Pei Sun +6 more
semanticscholar +1 more source
Cross-Image Attention for Zero-Shot Appearance Transfer [PDF]
International Conference on Computer Graphics and Interactive Techniques, 2023 Recent advancements in text-to-image generative models have demonstrated a remarkable ability to capture a deep semantic understanding of images. In this work, we leverage this semantic knowledge to transfer the visual appearance between objects that ...
Yuval Alaluf +4 more
semanticscholar +1 more source
Splicing ViT Features for Semantic Appearance Transfer [PDF]
Computer Vision and Pattern Recognition, 2022 We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in which objects in a source structure image are “painted” with the visual appearance of their ...
Narek Tumanyan +3 more
semanticscholar +1 more source
, 2021 38 pages, 16 figures, appears in the "The Handbook on Socially Interactive Agents: 20 Years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition," published by the ...
Rachel McDonnell, Bilge Mutlu
openaire +2 more sources
Style-Based Global Appearance Flow for Virtual Try-On [PDF]
Computer Vision and Pattern Recognition, 2022 Image-based virtual try-on aims to fit an in-shop garment into a clothed person image. To achieve this, a key step is garment warping which spatially aligns the target garment with the corresponding body parts in the person image. Prior methods typically
Sen He, Yi-Zhe Song, Tao Xiang
semanticscholar +1 more source
Cambridge Prisms: Global Mental Health, 2022 Background Indian adolescents experience body dissatisfaction. However, empirically supported interventions are lacking, particularly in lower socio-economic regions of India.
L. Ahuja +3 more
doaj +1 more source