Search Results for author: Kai-En Lin

Found 7 papers, 1 papers with code

Neural Free-Viewpoint Relighting for Glossy Indirect Illumination

no code implementations12 Jul 2023 Nithin Raghavan, Yan Xiao, Kai-En Lin, Tiancheng Sun, Sai Bi, Zexiang Xu, Tzu-Mao Li, Ravi Ramamoorthi

In this paper, we demonstrate a hybrid neural-wavelet PRT solution to high-frequency indirect illumination, including glossy reflection, for relighting with changing view.

Tensor Decomposition

PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN

no code implementations29 Jun 2023 Kai-En Lin, Alex Trevithick, Keli Cheng, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi

In this work, our goal is to take as input a monocular video of a face, and create an editable dynamic portrait able to handle extreme head poses.

Face Generation

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

no code implementations20 Feb 2023 Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi

Novel view synthesis from a single image requires inferring occluded regions of objects and scenes whilst simultaneously maintaining semantic and physical consistency with the input.

Novel View Synthesis

Vision Transformer for NeRF-Based View Synthesis from a Single Input Image

1 code implementation12 Jul 2022 Kai-En Lin, Lin Yen-Chen, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi

Existing approaches condition on local image features to reconstruct a 3D object, but often render blurry predictions at viewpoints that are far away from the source view.

Novel View Synthesis

View Synthesis of Dynamic Scenes based on Deep 3D Mask Volume

no code implementations ICCV 2021 Kai-En Lin, Guowei Yang, Lei Xiao, Feng Liu, Ravi Ramamoorthi

Image view synthesis has seen great success in reconstructing photorealistic visuals, thanks to deep learning and various novel representations.

NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting

no code implementations26 Jul 2021 Tiancheng Sun, Kai-En Lin, Sai Bi, Zexiang Xu, Ravi Ramamoorthi

Our system is trained on a large number of synthetic models, and can generalize to different synthetic and real portraits under various lighting conditions.

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