MVDD: Multi-View Depth Diffusion Models Article Swipe

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Zhen Wang , Qiangeng Xu , Feitong Tan , Menglei Chai , Shichen Liu , Rohit Pandey , Sean Fanello , Achuta Kadambi , Yinda Zhang ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2312.04875

Denoising diffusion models have demonstrated outstanding results in 2D image generation, yet it remains a challenge to replicate its success in 3D shape generation. In this paper, we propose leveraging multi-view depth, which represents complex 3D shapes in a 2D data format that is easy to denoise. We pair this representation with a diffusion model, MVDD, that is capable of generating high-quality dense point clouds with 20K+ points with fine-grained details. To enforce 3D consistency in multi-view depth, we introduce an epipolar line segment attention that conditions the denoising step for a view on its neighboring views. Additionally, a depth fusion module is incorporated into diffusion steps to further ensure the alignment of depth maps. When augmented with surface reconstruction, MVDD can also produce high-quality 3D meshes. Furthermore, MVDD stands out in other tasks such as depth completion, and can serve as a 3D prior, significantly boosting many downstream tasks, such as GAN inversion. State-of-the-art results from extensive experiments demonstrate MVDD's excellent ability in 3D shape generation, depth completion, and its potential as a 3D prior for downstream tasks.

Related Topics

Computer Science

Point Cloud

Polygon Mesh

Artificial Intelligence

Rendering (Computer Graphics)

Paleontology

Physics

Concepts

Computer science Point cloud Polygon mesh Epipolar geometry Artificial intelligence Computer vision Noise reduction 3d model Inversion (geology) View synthesis Diffusion Algorithm Computer graphics (images) Image (mathematics) Geology Structural basin Rendering (computer graphics) Paleontology Physics Thermodynamics

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2312.04875
PDF: https://arxiv.org/pdf/2312.04875
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4389599573

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DOI: https://doi.org/10.48550/arxiv.2312.04875

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Title: MVDD: Multi-View Depth Diffusion Models

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Type: preprint

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Language: en

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Publication year: 2023

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Publication date: 2023-12-08

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Authors: Zhen Wang, Qiangeng Xu, Feitong Tan, Menglei Chai, Shichen Liu, Rohit Pandey, Sean Fanello, Achuta Kadambi, Yinda Zhang

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Landing page: https://arxiv.org/abs/2312.04875

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Concepts: Computer science, Point cloud, Polygon mesh, Epipolar geometry, Artificial intelligence, Computer vision, Noise reduction, 3d model, Inversion (geology), View synthesis, Diffusion, Algorithm, Computer graphics (images), Image (mathematics), Geology, Structural basin, Rendering (computer graphics), Paleontology, Physics, Thermodynamics

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abstract_inverted_index.details.	70
abstract_inverted_index.epipolar	81
abstract_inverted_index.Denoising	0
abstract_inverted_index.alignment	111
abstract_inverted_index.attention	84
abstract_inverted_index.augmented	116
abstract_inverted_index.challenge	15
abstract_inverted_index.denoising	88
abstract_inverted_index.diffusion	1, 53, 105
abstract_inverted_index.excellent	161
abstract_inverted_index.extensive	157
abstract_inverted_index.introduce	79
abstract_inverted_index.potential	171
abstract_inverted_index.replicate	17
abstract_inverted_index.conditions	86
abstract_inverted_index.downstream	148, 177
abstract_inverted_index.generating	60
abstract_inverted_index.inversion.	153
abstract_inverted_index.leveraging	29
abstract_inverted_index.multi-view	30, 76
abstract_inverted_index.represents	33
abstract_inverted_index.completion,	137, 168
abstract_inverted_index.consistency	74
abstract_inverted_index.demonstrate	159
abstract_inverted_index.experiments	158
abstract_inverted_index.generation,	10, 166
abstract_inverted_index.generation.	23
abstract_inverted_index.neighboring	95
abstract_inverted_index.outstanding	5
abstract_inverted_index.Furthermore,	127
abstract_inverted_index.demonstrated	4
abstract_inverted_index.fine-grained	69
abstract_inverted_index.high-quality	61, 124
abstract_inverted_index.incorporated	103
abstract_inverted_index.Additionally,	97
abstract_inverted_index.significantly	145
abstract_inverted_index.representation	50
abstract_inverted_index.reconstruction,	119
abstract_inverted_index.State-of-the-art	154
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	9
sustainable_development_goals[0].id	https://metadata.un.org/sdg/11
sustainable_development_goals[0].score	0.6399999856948853
sustainable_development_goals[0].display_name	Sustainable cities and communities
citation_normalized_percentile