RigPAPR auto-rigs static PAPR point clouds and drives them via direct LBS from monocular fixed-view video, matching baselines at supervised views and exceeding them by 3+dB PSNR at novel views with cleaner joints.
GaMeS: Mesh-Based Adapt- ing and Modification of Gaussian Splatting
7 Pith papers cite this work. Polarity classification is still indexing.
7
Pith papers citing it
representative citing papers
LumiMotion improves albedo estimation and scene relighting in dynamic scenes by leveraging motion to separate lighting effects from surface appearance in a dynamic 2D Gaussian Splatting representation.
DR-GS is a unified 2D Gaussian framework that integrates physically-based inverse rendering, relighting, and deformation by explicitly disentangling geometry, illumination, and material representations.
An end-to-end transcoding pipeline creates 3D Gaussian splatting models from plenoptic point clouds or meshes without original multi-view images, using custom initialization and surface constraints for high-quality output with fewer splats and faster convergence.
MedGS extends Gaussian Splatting with a relightable model tailored to endoscopic imaging where light and camera are co-located, achieving better novel-view synthesis and tissue editing than baselines.
Sat2City v2 adapts a pretrained native 3D latent model to generate controllable textured 3D city assets from satellite images via geometry flow fine-tuning and anchored texturing on a collected real dataset.
Mesh2GS constructs 3DGS from meshes via plenoptic sampling for Nyquist-level global illumination rendering with albedo-shading decomposition and neural enhancement.
citing papers explorer
-
RigPAPR: Rig-Based Animation of Static Neural Point Clouds from a Fixed-Viewpoint Video
RigPAPR auto-rigs static PAPR point clouds and drives them via direct LBS from monocular fixed-view video, matching baselines at supervised views and exceeding them by 3+dB PSNR at novel views with cleaner joints.
-
LumiMotion: Improving Gaussian Relighting with Scene Dynamics
LumiMotion improves albedo estimation and scene relighting in dynamic scenes by leveraging motion to separate lighting effects from surface appearance in a dynamic 2D Gaussian Splatting representation.
-
DR-GS: Physically-Based Deformable and Relightable 2D Gaussians
DR-GS is a unified 2D Gaussian framework that integrates physically-based inverse rendering, relighting, and deformation by explicitly disentangling geometry, illumination, and material representations.
-
Transcoding a 3D Gaussian Splatting Model from a Plenoptic Point Cloud or Mesh without the Original Multi-view Images
An end-to-end transcoding pipeline creates 3D Gaussian splatting models from plenoptic point clouds or meshes without original multi-view images, using custom initialization and surface constraints for high-quality output with fewer splats and faster convergence.
-
MedGS: Gaussian Splatting for Multi-Modal 3D Medical Imaging
MedGS extends Gaussian Splatting with a relightable model tailored to endoscopic imaging where light and camera are co-located, achieving better novel-view synthesis and tissue editing than baselines.
-
Sat2City v2: Native 3D City Asset Generation from a Single Satellite Image
Sat2City v2 adapts a pretrained native 3D latent model to generate controllable textured 3D city assets from satellite images via geometry flow fine-tuning and anchored texturing on a collected real dataset.
-
Mesh2GS: White-Box 3DGS Construction via Plenoptic Sampling
Mesh2GS constructs 3DGS from meshes via plenoptic sampling for Nyquist-level global illumination rendering with albedo-shading decomposition and neural enhancement.