activity
20162024
most citedScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

526 citations · 3.1k across the 107 of their papers we have counts for

collaborators

140 papers

cs.CV2024

PrEditor3D: Fast and Precise 3D Shape Editing

Ziya Erkoç, Can Gümeli, Chaoyang Wang +5

We propose a training-free approach to 3D editing that enables the editing of a single shape within a few minutes. The edited 3D mesh aligns well with the prompts, and remains iden…

cs.CV2024

3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt

Lukas Höllein, Aljaž Božič, Michael Zollhöfer +1

We present 3DGS-LM, a new method that accelerates the reconstruction of 3D Gaussian Splatting (3DGS) by replacing its ADAM optimizer with a tailored Levenberg-Marquardt (LM). Exist…

cs.CV2024

LT3SD: Latent Trees for 3D Scene Diffusion

Quan Meng, Lei Li, Matthias Nießner +1

We present LT3SD, a novel latent diffusion model for large-scale 3D scene generation. Recent advances in diffusion models have shown impressive results in 3D object generation, but…

cs.CV2024★ 3 cited

ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models

Lukas Höllein, Aljaž Božič, Norman Müller +5

3D asset generation is getting massive amounts of attention, inspired by the recent success of text-guided 2D content creation. Existing text-to-3D methods use pretrained text-to-i…

cs.CV2023★ 1 cited

FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models

Shivangi Aneja, Justus Thies, Angela Dai +1

We introduce FaceTalk, a novel generative approach designed for synthesizing high-fidelity 3D motion sequences of talking human heads from input audio signal. To capture the expres…

cs.CV2023★ 5 cited

GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians

Shenhan Qian, Tobias Kirschstein, Liam Schoneveld +3

We introduce GaussianAvatars, a new method to create photorealistic head avatars that are fully controllable in terms of expression, pose, and viewpoint. The core idea is a dynamic…