activity
20162025
most citedMatterport3D: Learning from RGB-D Data in Indoor Environments

337 citations · 401 across the 21 of their papers we have counts for

collaborators
Showing cs.CVShow all

33 papers · 1 filter

cs.CV2025

QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization

Yueh-Cheng Liu, Lukas Höllein, Matthias Nießner +1

Surface reconstruction is fundamental to computer vision and graphics, enabling applications in 3D modeling, mixed reality, robotics, and more. Existing approaches based on volumet…

cs.CV2024

Coherent 3D Scene Diffusion From a Single RGB Image

Manuel Dahnert, Angela Dai, Norman Müller +1

We present a novel diffusion-based approach for coherent 3D scene reconstruction from a single RGB image. Our method utilizes an image-conditioned 3D scene diffusion model to simul…

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

GaussianSpeech: Audio-Driven Gaussian Avatars

Shivangi Aneja, Artem Sevastopolsky, Tobias Kirschstein +3

We introduce GaussianSpeech, a novel approach that synthesizes high-fidelity animation sequences of photo-realistic, personalized 3D human head avatars from spoken audio. To captur…

cs.CV2024

L3DG: Latent 3D Gaussian Diffusion

Barbara Roessle, Norman Müller, Lorenzo Porzi +4

We propose L3DG, the first approach for generative 3D modeling of 3D Gaussians through a latent 3D Gaussian diffusion formulation. This enables effective generative 3D modeling, sc…

cs.CV20233 cited

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

Yawar Siddiqui, Antonio Alliegro, Alexey Artemov +5

We introduce MeshGPT, a new approach for generating triangle meshes that reflects the compactness typical of artist-created meshes, in contrast to dense triangle meshes extracted b…