Results 131 to 140 of about 13,553 (263)

Rendering Synthetic Defects for Learning‐Based Industrial Inspection

open access: yesComputer Graphics Forum, EarlyView.
Abstract Computer vision increasingly uses synthetic data from physically based rendering to supplement limited real‐world datasets. In industrial inspection, defect data is scarce and the rendering pipeline is explicitly controlled, and synthetic defect generation therefore becomes a dataset design problem.
Runzhou Mao   +5 more
wiley   +1 more source

ResEdit: Residual embeddings for precise generative image editing

open access: yesComputer Graphics Forum, EarlyView.
Abstract Conditional diffusion image generators can be repurposed for editing through inversion, without the need for large‐scale paired fine‐tuning data. However, producing high‐quality, targeted edits while maintaining image identity and global consistency remains challenging, as weakly conditioned inversion often embeds conflicting image features ...
Canberk Baykal   +6 more
wiley   +1 more source

t‐Regina: Data‐driven Authoring of Free‐form Registration for Cartoon Character Sprites

open access: yesComputer Graphics Forum, EarlyView.
Abstract This paper proposes t‐Regina, a novel iterative scheme that automates the manipulation of grid handles in free‐form deformation (FFD) for deformable registrations of cartoon character sprites. First, we build a data‐driven FFD (dFFD) that enables users to handle locations of FFD handles from lower‐dimensional parameters.
Tsukasa Fukusato, Akinobu Maejima
wiley   +1 more source

Advances in 4D Representation: Geometry, Motion, and Interaction

open access: yesComputer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao   +7 more
wiley   +1 more source

KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image

open access: yesComputer Graphics Forum, EarlyView.
KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang   +3 more
wiley   +1 more source

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