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Item Joint Gaussian Deformation in Triangle-Deformed Space for High-Fidelity Head Avatars(The Eurographics Association, 2025) Lu, Jiawei; Guang, Kunxin; Hao, Conghui; Sun, Kai; Yang, Jian; Xie, Jin; Wang, Beibei; Wang, Beibei; Wilkie, AlexanderCreating 3D human heads with mesoscale details and high-fidelity animation from monocular or sparse multi-view videos is challenging. While 3D Gaussian splatting (3DGS) has brought significant benefits into this task, due to its powerful representation ability and rendering speed, existing works still face several issues, including inaccurate and blurry deformation, and lack of detailed appearance, due to difficulties in complex deformation representation and unreasonable Gaussian placement. In this paper, we propose a joint Gaussian deformation method by decoupling the complex deformation into two simpler deformations, incorporating a learnable displacement map-guided Gaussian-triangle binding and a neural-based deformation refinement, improving the fidelity of animation and details of reconstructed head avatars. However, renderings of reconstructed head avatars at unseen views still show artifacts, due to overfitting on sparse input views. To address this issue, we leverage synthesized pseudo views rendered with fitted textured 3DMMs as priors to initialize Gaussians, which helps maintain a consistent and realistic appearance across various views. As a result, our method outperforms existing state-of-the-art approaches with about 4.3 dB PSNR in novel-view synthesis and about 0.9 dB PSNR in self-reenactment on multi-view video datasets. Our method also preserves high-frequency details, exhibits more accurate deformations, and significantly reduces artifacts in unseen views.Item Bidirectional Plateau-Border Scattering Distribution Function for Realistic and Efficient Foam Rendering(The Eurographics Association, 2025) Li, Ruizeng; Liu, Xinyang; Wang, Runze; Shen, Pengfei; Liu, Ligang; Wang, Beibei; Wang, Beibei; Wilkie, AlexanderLiquid foams are a common phenomenon in our daily life. In computer graphics, rendering realistic foams remains challenging due to their complex geometry and light interactions within the foam. While the structure of the liquid foams has been well studied in the field of physics, it's rarely leveraged for rendering, even though it is essential for achieving realistic appearances. In physics, the intersection of two bubbles creates a liquid-carrying channel known as the Plateau border (PB). In this paper, we introduce the Plateau border into liquid foam rendering by explicitly modeling it at the geometric level. Although modeling of PBs enhances visual realism with path tracing, it suffers from extensive rendering costs due to multiple scattering effects within the medium contained in the PB. To tackle this, we propose a novel scattering function that models the aggregation of scattering within the medium surrounded by a Plateau border, termed the bidirectional Plateau-border scattering distribution function (BPSDF). Since no analytical formulation can be derived for the BPSDF, we propose a neural representation, together with importance sampling and probability distribution functions, to enable Monte Carlo-based rendering. By integrating our BPSDF into path tracing, our method achieves both realistic and efficient rendering of liquid foams, producing images with high fidelity.Item Rendering 2025 Symposium Papers: Frontmatter(The Eurographics Association, 2025) Wang, Beibei; Wilkie, Alexander; Wang, Beibei; Wilkie, Alexander