Results 141 to 150 of about 832 (194)

Demand Estimation with Text and Image Data

The RAND Journal of Economics, EarlyView.
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani, Ilya Morozov, Stephan Seiler   +2 more
wiley   +1 more source

A Structured Review of Research‐Informed Instructional Strategies to Support CPA Enabling Competencies in Future Accountants*

Accounting Perspectives, Volume 24, Issue 1, Page 189-249, March 2025.
ABSTRACT CPA enabling competencies underpin the human skills and professional values that all future accountants should possess. Nevertheless, to date, the discourse is limited within the scholarship of teaching and learning on how to best inculcate these competencies in future accountants.
Sanobar Siddiqui
wiley   +1 more source

Imagery rescripting for generalized anxiety disorder: A case series

British Journal of Clinical Psychology, EarlyView.
Abstract Introduction This is the first clinical pilot to explore the feasibility, acceptability and preliminary efficacy of imagery rescripting in individuals with a diagnosis of generalized anxiety disorder (GAD). Methods Participants with GAD (N = 18) attended assessment and 10 weekly sessions of imagery rescripting with a psychologist in person or ...
L. Stavropoulos, A. B. Phipps, I. Sabel, D. D. J. Cooper, N. Briggs, J. M. Newby, J. R. Grisham   +6 more
wiley   +1 more source

Attentional territories: The influence of gaze and interpersonal distance in the navigation of public space

British Journal of Psychology, EarlyView.
Abstract Human gaze is a potent social signal; it communicates attention, intention and social engagement, and allows observers to infer not only where others are attending but also how they are socially related. Although gaze has been extensively studied in direct social interaction, far less is known about how it shapes the perceptions and actions of
Sabrina Gado, Velika Kristianto, Hasan Goulichli, Farid Pazhoohi, Roy S. Hessels, Tom Foulsham, Alan Kingstone   +6 more
wiley   +1 more source

PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement

Computer Graphics Forum, EarlyView.
We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang, Tianhan Wu, Kyle Fogarty, Fangcheng Zhong, Cengiz Oztireli   +4 more
wiley   +1 more source

Imagination Will Not Be Automized: On AI Image Generators and Epistemic Oppression

Constellations, EarlyView.
Sarah Abel
wiley   +1 more source

Story2Board: A Training‐Free Approach for Expressive Visual Storytelling

Computer Graphics Forum, EarlyView.
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich, M. Levy, O. Avrahami, D. Samuel, D. Lischinski   +4 more
wiley   +1 more source

See4D: Pose‐Free 4D Generation via Auto‐Regressive Video Inpainting

Computer Graphics Forum, EarlyView.
Abstract Immersive applications call for synthesizing spatiotemporal 4D content from casual videos without costly 3D supervision. Existing video‐to‐4D methods typically rely on manually annotated camera poses, which are labor‐intensive and brittle for in‐the‐wild footage.
Dongyue Lu, Ao Liang, Tianxin Huang, Xiao Fu, Yuyang Zhao, Baorui Ma, Liang Pan, Wei Yin, Lingdong Kong, Wei Tsang Ooi, Ziwei Liu   +10 more
wiley   +1 more source

VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations

Computer Graphics Forum, EarlyView.
Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi, Dhruv Agrawal, Jakob Buhmann, Martin Guay, Stelian Coros, Robert W. Sumner   +5 more
wiley   +1 more source

Authoring Terrestrial Planets with Diffusion Models

Computer Graphics Forum, EarlyView.
Abstract To support the design and subsequent generation of terrestrial planets for use in the creative media, we propose a solution that employs a generative model trained on satellite data from planetary bodies with a defined solid surface, such as the Earth and Mars.
Oliver Borg, James Gain, Éric Guérin, Adrien Peytavie, Marie‐Paule Cani, Eric Galin, Guillaume Cordonnier   +6 more
wiley   +1 more source