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cs.CV2026
SEGAR: Selective Enhancement for Generative Augmented Reality
Fanjun Bu, Chenyang Yuan, Hiroshi Yasuda
Generative world models offer a compelling foundation for augmented-reality (AR) applications: by predicting future image sequences that incorporate deliberate visual edits, they e…
cs.CV2025
Enhancing Sample Generation of Diffusion Models using Noise Level Correction
Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu +1
The denoising process of diffusion models can be interpreted as an approximate projection of noisy samples onto the data manifold. Moreover, the noise level in these samples approx…
cs.CV2024
VehicleSDF: A 3D generative model for constrained engineering design via surrogate modeling
Hayata Morita, Kohei Shintani, Chenyang Yuan +1
A main challenge in mechanical design is to efficiently explore the design space while satisfying engineering constraints. This work explores the use of 3D generative models to exp…