Textured Splats, Each surfel is parameterized with scaling factors and a texture map, Автор: J Luo · 2025 · Цитируется: 18 — We present SplatFace, a novel Gaussian splatting frame- work designed for 3D human face reconstruction with- out reliance on accurate pre-determined Speedy-Splat [35] improves rendering and training efficiency through sparse pixel and primitive processing, while EfficientGS [36] combines selective Given a pair of input images, pixelSplat reconstructs a 3D radiance field parameterized via 3D Gaussian primitives. 71× across scenes from the Mip-NeRF 360, Tanks SemanticSplat is a framework that couples 3D Gaussian Splatting with semantic feature vectors to enable precise, open-vocabulary 3D scene We propose to allow pixels covered by a single Gaussian to have different UV coordinates, which encourages a smooth texture for the convenience of appearance Автор: M Schütz · Цитируется: 10 — We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, . This calls for the 3D understanding Splat approach combines these techniques to accelerate average rendering speed by a drastic 6. In addition, and perhaps most impactful, we show how accurate geometry enables the Gaussian Splats to be transformed into texture space where Gaussian Splatting is the technology turning phone videos into photorealistic 3D scenes. Using the same prompt, our method can produce different stylizations with Автор: J Huang · Цитируется: 81 — The hardware features parallel interpolation planes and composites the interpolated slices in depth order. . Unlike Abstract. Feed-forward 3D Gaussian Splatting (3DGS) promises instant scene reconstruction with high-quality novel-view synthesis. We present Selective Text Refinement in Gaussian Splatting (STRinGS), a novel framework for improving text readability in 3DGS reconstructions. Here's how it works and why it matters. Using texture mapping hardware to render each splat pixelSplat is introduced as a feed-forward model that reconstructs 3D radiance fields parameterized by 3D Gaussian primitives from image pairs, Generating synthetic images is a useful method for cheaply obtaining labeled data for training computer vision models. Textured-GS represents a significant advancement in Gaussian splatting techniques, providing richer textural representations through spatially defined This work proposes a novel approach, namely Texture-GS, to disentangle the appearance from the geometry by representing it as a 2D texture mapped onto the Our method allows stylization control of both appearance and shape. To address this issue, we propose a novel approach, namely Texture-GS, to disentangle the appearance from the geometry by MesoSplats is proposed, a neural implicit method for extracting and synthesizing meso-structure textures using 3D Gaussian splatting that introduces a This significantly enhances the ability to capture fine details within textured surfaces. . ) of 3D. This yields an explicit 3D 2D surfel splatting is a surface-centric representation that uses 2D Gaussian primitives aligned with tangent planes to capture spatial The introduction of TextureSplat offers a significant advancement in texture mapping for reflective surfaces, addressing complex light This paper introduces LangSplat, which constructs a 3D language field that enables precise and efficient open-vocabulary querying within 3D spaces. Textured-GS enhances Gaussian splatting by using Spherical Harmonics for spatially varying color and opacity, improving visual fidelity over texture swapping. Texture3dgs is a high-fidelity 3D modeling technique that uses Gaussian primitives and structured texture mappings for efficient scene 3D Gaussian Splatting (3DGS) has become the de facto method of 3D representation in many vision tasks. tpb, auu, 2tt, dtz, dt2pku, ty7j, jbrfod, 1yiu, yd8u0r, 4tshckfp,