Browsing by Author "Ramamoorthi, Ravi"

Now showing items 1-9 of 9

    • Analysis of Sample Correlations for Monte Carlo Rendering 

      Singh, Gurprit; Öztireli, Cengiz; Ahmed, Abdalla G. M.; Coeurjolly, David; Subr, Kartic; Deussen, Oliver; Ostromoukhov, Victor; Ramamoorthi, Ravi; Jarosz, Wojciech (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Modern physically based rendering techniques critically depend on approximating integrals of high dimensional functions representing radiant light energy. Monte Carlo based integrators are the choice for complex scenes and ...

    • Deep HDR Video from Sequences with Alternating Exposures 

      Kalantari, Nima Khademi; Ramamoorthi, Ravi (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      A practical way to generate a high dynamic range (HDR) video using off-the-shelf cameras is to capture a sequence with alternating exposures and reconstruct the missing content at each frame. Unfortunately, existing ...

    • Deep Kernel Density Estimation for Photon Mapping 

      Zhu, Shilin; Xu, Zexiang; Jensen, Henrik Wann; Su, Hao; Ramamoorthi, Ravi (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Recently, deep learning-based denoising approaches have led to dramatic improvements in low sample-count Monte Carlo rendering. These approaches are aimed at path tracing, which is not ideal for simulating challenging light ...

    • Human Hair Inverse Rendering using Multi-View Photometric data 

      Sun, Tiancheng; Nam, Giljoo; Aliaga, Carlos; Hery, Christophe; Ramamoorthi, Ravi (The Eurographics Association, 2021)
      We introduce a hair inverse rendering framework to reconstruct high-fidelity 3D geometry of human hair, as well as its reflectance, which can be readily used for photorealistic rendering of hair. We take multi-view photometric ...

    • MesoGAN: Generative Neural Reflectance Shells 

      Diolatzis, Stavros; Novak, Jan; Rousselle, Fabrice; Granskog, Jonathan; Aittala, Miika; Ramamoorthi, Ravi; Drettakis, George (© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)
      We introduce MesoGAN, a model for generative 3D neural textures. This new graphics primitive represents mesoscale appearance by combining the strengths of generative adversarial networks (StyleGAN) and volumetric neural ...

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

      Sun, Tiancheng; Lin, Kai-En; Bi, Sai; Xu, Zexiang; Ramamoorthi, Ravi (The Eurographics Association, 2021)
      Human portraits exhibit various appearances when observed from different views under different lighting conditions. We can easily imagine how the face will look like in another setup, but computer algorithms still fail on ...

    • Neural Free-Viewpoint Relighting for Glossy Indirect Illumination 

      Raghavan, Nithin; Xiao, Yan; Lin, Kai-En; Sun, Tiancheng; Bi, Sai; Xu, Zexiang; Li, Tzu-Mao; Ramamoorthi, Ravi (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Precomputed Radiance Transfer (PRT) remains an attractive solution for real-time rendering of complex light transport effects such as glossy global illumination. After precomputation, we can relight the scene with new ...

    • PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN 

      Lin, Kai-En; Trevithick, Alex; Cheng, Keli; Sarkis, Michel; Ghafoorian, Mohsen; Bi, Ning; Reitmayr, Gerhard; Ramamoorthi, Ravi (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its extensions have shown promising results in synthesizing photorealistic ...

    • Spatiotemporal Blue Noise Masks 

      Wolfe, Alan; Morrical, Nathan; Akenine-Möller, Tomas; Ramamoorthi, Ravi (The Eurographics Association, 2022)
      Blue noise error patterns are well suited to human perception, and when applied to stochastic rendering techniques, blue noise masks can minimize unwanted low-frequency noise in the final image. Current methods of applying ...