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3D Gaussian Splatting has emerged as a promising representation for rendering of 3D scenes.
We observe that Gaussians exhibit distinct roles and characteristics that are analogous to traditional artistic techniques.
We propose a novel hybrid representation that categorizes Gaussians into (i) Sketch Gaussians, which define scene boundaries, and (ii) Patch Gaussians, which cover smooth regions.
arXiv Detail & Related papers (2025-01-22T17:52:45Z) - Textured Gaussians for Enhanced 3D Scene Appearance Modeling [58.134905268540436]
3D Gaussian Splatting (3DGS) has emerged as a state-of-the-art 3D reconstruction and rendering technique.
We propose a new generalized Gaussian appearance representation that augments each Gaussian with alpha(A), RGB, or RGBA texture maps.
We demonstrate image quality improvements over existing methods while using a similar or lower number of Gaussians.
arXiv Detail & Related papers (2024-11-27T18:59:59Z) - Quadratic Gaussian Splatting for Efficient and Detailed Surface Reconstruction [7.500927135156425]
Quadratic Gaussian Splatting (QGS) is a novel method that replaces disks with quadric surfaces.
QGS renders spatial curvature to guide the normal consistency term, to effectively reduce over-smoothing.
Our code willbe released as open source.
arXiv Detail & Related papers (2024-11-25T13:55:00Z) - GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views [67.34073368933814]
We propose a generalizable Gaussian Splatting approach for high-resolution image rendering under a sparse-view camera setting.
We train our Gaussian parameter regression module on human-only data or human-scene data, jointly with a depth estimation module to lift 2D parameter maps to 3D space.
Experiments on several datasets demonstrate that our method outperforms state-of-the-art methods while achieving an exceeding rendering speed.
arXiv Detail & Related papers (2024-11-18T08:18:44Z) - Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis [28.3325478008559]
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We optimize the scene structure in two folds: rendering geometry and, more importantly, the position of Gaussian primitives.
Experiments on forward-facing, surrounding, and complex large scenes show the effectiveness of our approach with state-of-the-art performance and high efficiency.
arXiv Detail & Related papers (2024-11-06T03:28:06Z) - Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes [50.92217884840301]
Gaussian Opacity Fields (GOF) is a novel approach for efficient, high-quality, and adaptive surface reconstruction in scenes.
GOF is derived from ray-tracing-based volume rendering of 3D Gaussians.
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arXiv Detail & Related papers (2024-04-16T17:57:19Z) - 2D Gaussian Splatting for Geometrically Accurate Radiance Fields [50.056790168812114]
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction, achieving high quality novel view synthesis and fast rendering speed without baking.
We present 2D Gaussian Splatting (2DGS), a novel approach to model and reconstruct geometrically accurate radiance fields from multi-view images.
We demonstrate that our differentiable terms allows for noise-free and detailed geometry reconstruction while maintaining competitive appearance quality, fast training speed, and real-time rendering.
arXiv Detail & Related papers (2024-03-26T17:21:24Z) - GVGEN: Text-to-3D Generation with Volumetric Representation [89.55687129165256]
3D Gaussian splatting has emerged as a powerful technique for 3D reconstruction and generation, known for its fast and high-quality rendering capabilities.
This paper introduces a novel diffusion-based framework, GVGEN, designed to efficiently generate 3D Gaussian representations from text input.
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arXiv Detail & Related papers (2024-02-07T12:36:54Z)
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