Search Results for author: Tiancheng Sun

Found 8 papers, 1 papers with code

Text2Immersion: Generative Immersive Scene with 3D Gaussians

no code implementations14 Dec 2023 Hao Ouyang, Kathryn Heal, Stephen Lombardi, Tiancheng Sun

We introduce Text2Immersion, an elegant method for producing high-quality 3D immersive scenes from text prompts.

Depth Estimation Scene Generation

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

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.

Photon-Driven Neural Path Guiding

no code implementations5 Oct 2020 Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

To fully make use of our deep neural network, we partition the scene space into an adaptive hierarchical grid, in which we apply our network to reconstruct high-quality sampling distributions for any local region in the scene.

Neural Light Transport for Relighting and View Synthesis

1 code implementation9 Aug 2020 Xiuming Zhang, Sean Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip Davidson, Christoph Rhemann, Paul Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman

In particular, we show how to fuse previously seen observations of illuminants and views to synthesize a new image of the same scene under a desired lighting condition from a chosen viewpoint.

Revisiting Cross-Channel Information Transfer for Chromatic Aberration Correction

no code implementations ICCV 2017 Tiancheng Sun, Yifan Peng, Wolfgang Heidrich

Image aberrations can cause severe degradation in image quality for consumer-level cameras, especially under the current tendency to reduce the complexity of lens designs in order to shrink the overall size of modules.

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