SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

Author:

Cheng Yen-Chi1,Lee Hsin-Ying2,Tulyakov Sergey2,Schwing Alexander1,Gui Liangyan1

Affiliation:

1. University of Illinois Urbana-Champaign

2. Snap Research

Funder

NSF

Publisher

IEEE

Reference53 articles.

1. Diffusion models beat gans on image synthesis;dhariwal;NeurIPS,0

2. Bert: Pretraining of deep bidirectional transformers for language understanding;devlin;NAACL,0

3. Denoising diffusion probabilistic models;ho;NeurIPS,2020

4. Stylenerf: A style-based 3d-aware generator for high-resolution image synthesis;gu;ICLRE,0

5. 3D Shape Generation and Completion through Point-Voxel Diffusion

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1. ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

2. CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

3. EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation;ACM Transactions on Graphics;2023-12-05

4. AICRID: AI-Empowered CR For Interior Design;2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct);2023-10-16

5. Reconstruction of 3D Interaction Models from Images using Shape Prior;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

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