8 citations · 12 across the 6 of their papers we have counts for
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cs.GR2023★ 1 cited
Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising
Kyu Beom Han, Olivia G. Odenthal, Woo Jae Kim +1
Auxiliary features such as geometric buffers (G-buffers) and path descriptors (P-buffers) have been shown to significantly improve Monte Carlo (MC) denoising. However, recent appro…
cs.CV2023
Take a Prior from Other Tasks for Severe Blur Removal
Pei Wang, Danna Xue, Yu Zhu +4
Recovering clear structures from severely blurry inputs is a challenging problem due to the large movements between the camera and the scene. Although some works apply segmentation…
cs.CV2023★ 3 cited
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
Jumin Lee, Woobin Im, Sebin Lee +1
In this paper, we learn a diffusion model to generate 3D data on a scene-scale. Specifically, our model crafts a 3D scene consisting of multiple objects, while recent diffusion res…