Results 191 to 200 of about 38,197 (242)

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

F3AMD: Fast FiLM‐Conditioned Fourier Autoregressive Motion Diffusion

open access: yesComputer Graphics Forum, EarlyView.
Abstract Recent advances in generative motion synthesis have enabled realtime autoregressive generation of diverse and realistic character animations conditioned on user inputs, as demonstrated by models such as the Conditional Autoregressive Motion Diffusion Model (CAMDM).
Calvin Z. Qiao   +5 more
wiley   +1 more source

MotionPyramid: Controllable Motion Synthesis via Stylized Phase Manifolds

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce stylized phase manifolds—a compact, interpretable latent representation that disentangles motion content (e.g. “jumping”, “walking”), the temporal structure (e.g. motion cycle frequency, gait timing), and style (i.e. how the motion is performed). Learned in an unsupervised manner and inherently low‐dimensional, the manifold offers
Jingyuan Li   +3 more
wiley   +1 more source

FID/CAO

open access: yesDokumenteshon kenkyu, 1983
openaire   +1 more source

Survey on Compositional 3D Indoor Scene Generation

open access: yesComputer Graphics Forum, EarlyView.
This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam   +7 more
wiley   +1 more source

FID/II

open access: yesDokumenteshon kenkyu, 1983
openaire   +1 more source

Auswertung der FID GEO-Umfrage 2026

open access: yes
Heyer, Karl   +3 more
core   +1 more source

FID/CCCミーティング

open access: yesDokumenteshon kenkyu, 1983
openaire   +1 more source

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