activity
20162024
most citedMatterport3D: Learning from RGB-D Data in Indoor Environments

337 citations · 565 across the 25 of their papers we have counts for

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76 papers · 1 filter

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.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…

cs.CV20221 cited

UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding

Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen +2

Performing 3D dense captioning and visual grounding requires a common and shared understanding of the underlying multimodal relationships. However, despite some previous attempts o…

cs.CV20223 cited

Neural Poisson: Indicator Functions for Neural Fields

Angela Dai, Matthias Nießner

Implicit neural field generating signed distance field representations (SDFs) of 3D shapes have shown remarkable progress in 3D shape reconstruction and generation. We introduce a…