activity
20242026
most citedReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Free-Range Gaussians: Non-Grid-Aligned Generative 3D Gaussian Reconstruction

Ahan Shabanov, Peter Hedman, Ethan Weber +10

We present Free-Range Gaussians, a multi-view reconstruction method that predicts non-pixel, non-voxel-aligned 3D Gaussians from as few as four images. This is done through flow ma…

cs.GR2025

DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos

Chieh Hubert Lin, Zhaoyang Lv, Songyin Wu +11

We introduce the Deformable Gaussian Splats Large Reconstruction Model (DGS-LRM), the first feed-forward method predicting deformable 3D Gaussian splats from a monocular posed vide…

cs.CV2025

Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency

Hyunho Ha, Lei Xiao, Christian Richardt +5

We introduce a novel geometry-guided online video view synthesis method with enhanced view and temporal consistency. Traditional approaches achieve high-quality synthesis from dens…

cs.CV2024★ 2 cited

ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields

Edward Bartrum, Thu Nguyen-Phuoc, Chris Xie +5

We introduce ReplaceAnything3D model (RAM3D), a novel text-guided 3D scene editing method that enables the replacement of specific objects within a scene. Given multi-view images o…

cs.CV2024★ 1 cited

TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion

Yu-Ying Yeh, Jia-Bin Huang, Changil Kim +8

We present TextureDreamer, a novel image-guided texture synthesis method to transfer relightable textures from a small number of input images (3 to 5) to target 3D shapes across ar…