arXiv Machine Learning

Heat Kernel Textures: the Geodesic Gaussians That Do Not Splat

arXiv AI
Sep 25

ADATEX4D: adaptive texture capacity allocation for 4D gaussian splatting

ADATEX4D introduces an adaptive texture-capacity module for deformation-based 4D Gaussian Splatting, allowing each Gaussian to carry packed RGBA triplanes whose axes grow independently based on visibility-normalized screen-space gradients and deformed local scales. The method reduces texture storage by more than half on datasets such as N3DV and PanopticSports while preserving reconstruction quality. Under fixed memory budgets, adaptive allocation improves quality over uniform texture assignment and lowers overall model and peak memory usage.

By De Jiang, Peiqiang Wang, Kehong Yuan, Shaohua Ma
Hugging Face Trending Papers
Sep 24

ADATEX4D: adaptive texture capacity allocation for 4D gaussian splatting

ADATEX4D introduces an adaptive texture-capacity module for 4D Gaussian Splatting, allowing each Gaussian to carry packed RGBA triplanes whose axes grow independently based on visibility-normalized screen-space gradients and deformed local scales. This approach reduces texture storage by more than half while maintaining reconstruction quality, as shown in experiments on N3DV and PanopticSports. Under fixed memory budgets, adaptive allocation improves quality over uniform texture assignment and lowers overall model and peak memory usage.

arXiv AI
Jul 1

Intrinsic decomposition and editing of 3D Gaussian splats

arXiv:2606. 31637v1 Announce Type: cross Abstract: Intrinsic decomposition which expresses image colors as the product of diffuse albedo and shading, possibly augmented with view-dependent residuals has a long history in image editing as it enables the modification of object colors and textures without altering lighting.

By Alexandre Lanvin, Jeffrey Hu, Simon Lucas, Adrien Bousseau, George Drettakis
arXiv Computer Vision
Sep 1

Elastic Triangle Splatting

arXiv:2608.29106v1 Announce Type: new Abstract: While neural rendering methods such as 3D Gaussian Splatting achieve remarkable visual fidelity, traditional polygonal meshes remain the backbone of es...

By Tian Shi, Shenhan Qian, Daniel Cremers
arXiv Computer Vision
3d ago

DirectUV: Image-Conditioned UV Texture Generation with Surface-Aware Positional Encoding

DirectUV is an image-conditioned UV texture diffusion framework that generates high-quality textures directly in UV space using a pretrained image VAE and a Diffusion Transformer. It introduces Surface-Aware Positional Encoding (SAPE), which replaces standard 2D-grid positional encoding with encodings derived from 3D surface coordinates, enabling attention to operate based on surface proximity rather than UV-grid distance. A multi-level extension assigns different attention heads to progressively finer subdivisions of the UV patch, allowing the model to reason about surface structure at multiple granularities, resulting in sharper and more globally consistent textures, especially in occluded and view-unseen regions.

By Jiantao Lin, Yingjie Xu, Mingzhi Sheng, Yangkai Wei, Hao Chen, Ying-Cong Chen
arXiv Computer Vision
Sep 7

Compact Neural Appearance Models for Efficient Gaussian Splatting

The paper introduces a compact neural appearance model for 3D Gaussian Splatting that replaces traditional low‑order spherical harmonics (SH) with a tiny shared MLP decoding per‑primitive latent codes. It compares SH with recent spherical appearance models, integrating all into a unified CUDA rasterizer and WebGL viewer, and demonstrates that the new neural representation reduces per‑primitive appearance storage from 192 to 28 bytes, speeds optimization by 1.3×, and improves reconstruction quality. The study also analyzes how different appearance parametrizations affect geometry recovery and the handling of non‑static scene content.

By Florian Hahlbohm, Jorge Condor, Linus Franke, Martin Eisemann, Marcus Magnor