An auto-adaptive high-frequency feature extraction path that eliminates the disturbance of luminance variations across the captured image during estimation. •.

Nov 12, 2024 · An auto-adaptive high-frequency feature extraction path that eliminates the disturbance of luminance variations across the captured image during estimation.

Nov 1, 2024 · Single-image SVBRDF estimation with auto-adaptive high-frequency feature extraction // Computers and Graphics. 2024. Vol. 124. p. 104103.

Oct 22, 2024 · This system consists of four steps: preprocessing, signature registration, feature extraction, and signature verification. Results show that the ...

Single-image SVBRDF estimation with auto-adaptive high-frequency feature extraction ... Deep SVBRDF Estimation from Single Image under Learned Planar Lighting.

Single-image SVBRDF estimation with auto-adaptive high-frequency feature extraction. Jiamin Cheng, Li Wang, Lianghao Zhang, Fangzhou Gao, Jiawan Zhang.

Title: Single-image SVBRDF estimation with auto-adaptive high-frequency feature extraction. Authors: Jiamin Cheng, Li Wang, Lianghao Zhang, Fangzhou Gao, Jiawan ...

Single-image SVBRDF estimation with auto-adaptive high-frequency feature extraction. Jiamin Cheng, Li Wang, Lianghao Zhang, Fangzhou Gao, Jiawan Zhang

How can we extract material properties from a single image? Title: Single-image SVBRDF estimation with auto-adaptive high-frequency feature extraction ...

Dec 11, 2023 · We propose DeepBasis, a deep-learning-based method integrated with this assumption. It jointly predicts basis materials and their blending weights.