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cs.CV2025
EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation
Seungjun Moon, Sangjoon Yu, Gyeong-Moon Park
The rapid advancement of neural radiance fields (NeRF) has paved the way to generate animatable human avatars from a monocular video. However, the sole usage of NeRF suffers from a…
cs.CV2025
WINE: Wavelet-Guided GAN Inversion and Editing for High-Fidelity Refinement
Chaewon Kim, Seung-Jun Moon, Gyeong-Moon Park
Recent advanced GAN inversion models aim to convey high-fidelity information from original images to generators through methods using generator tuning or high-dimensional feature l…
cs.CV2024
Generative Unlearning for Any Identity
Juwon Seo, Sung-Hoon Lee, Tae-Young Lee +2
Recent advances in generative models trained on large-scale datasets have made it possible to synthesize high-quality samples across various domains. Moreover, the emergence of str…