Fetching the paper…
Reading the bibliography…
The techniques for 3D indoor scene capturing are widely used, but the meshes produced leave much to be desired.
Creating and exploring a large photorealistic virtual space
Josef Sivic, Biliana Kaneva, Antonio Torralba, Shai Avidan, and William T Freeman · 2008
Earlier work this paper cites.
Microsoft kinect sensor and its effect
Zhengyou Zhang · 2012
Earlier work this paper cites.
Deep convolutional priors for indoor scene synthesis
Kai Wang, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2018
Earlier work this paper cites.
Fast and flexible indoor scene synthesis via deep convolutional generative models
Daniel Ritchie, Kai Wang, and Yu-an Lin · 2019
Earlier work this paper cites.
Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
Earlier work this paper cites.
Very long natural scenery image prediction by outpainting
Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, and Shuicheng Yan · 2019
Earlier work this paper cites.
Sg-nn: Sparse generative neural networks for self-supervised scene completion of rgb-d scans
Angela Dai, Christian Diller, and Matthias Nießner · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Modular primitives for high-performance differentiable rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila · 2020
Earlier work this paper cites.
Arkitscenes: A diverse real-world dataset for 3d indoor scene understanding using mobile RGB-D data
Afshin Dehghan, Gilad Baruch, Zhuoyuan Chen, Yuri Feigin, Peter Fu, Thomas Gebauer, Daniel Kurz, Tal Dimry, Brandon Joffe, Arik Schwartz, and Elad Shulman · 2021
Earlier work this paper cites.
Unconstrained scene generation with locally conditioned radiance fields
Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava, Graham W Taylor, and Joshua M Susskind · 2021
Earlier work this paper cites.
3d-front: 3d furnished rooms with layouts and semantics
Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, and Hao Zhang · 2021
Earlier work this paper cites.
Atiss: Autoregressive transformers for indoor scene synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, and Sanja Fidler · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, A. Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Earlier work this paper cites.
Retrievalfuse: Neural 3d scene reconstruction with a database
Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, and Angela Dai · 2021
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
Cited alongside, same era.
Plan2scene: Converting floorplans to 3d scenes
Madhawa Vidanapathirana, Qirui Wu, Yasutaka Furukawa, Angel X Chang, and Manolis Savva · 2021
Cited alongside, same era.
Gaudi: A neural architect for immersive 3d scene generation
Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, et al · 2022
Cited alongside, same era.
Efficient geometry-aware 3d generative adversarial networks
Eric R Chan, Connor Z Lin, Matthew A Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J Guibas, Jonathan Tremblay, Sameh Khamis, et al · 2022
Cited alongside, same era.
Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors
Congyue Deng, Chiyu Jiang, Charles R Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov, et al · 2022
Cited alongside, same era.
Multidiffusion: Fusing diffusion paths for controlled image generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, and Tali Dekel · 2023
Closest in time.
Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A. Efros · 2023
Closest in time.
Generative novel view synthesis with 3d-aware diffusion models
Eric R Chan, Koki Nagano, Matthew A Chan, Alexander W Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, and Gordon Wetzstein · 2023
Closest in time.
Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation
Rui Chen, Yongwei Chen, Ningxin Jiao, and Kui Jia · 2023
Closest in time.
Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Stylemesh: Style transfer for indoor 3d scene reconstructions
Lukas Höllein, Justin Johnson, and Matthias Nießner · 2022
Cited alongside, same era.
Diffrf: Rendering-guided 3d radiance field diffusion
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, and Matthias Nießner · 2022
Cited alongside, same era.
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall · 2022
Cited alongside, same era.
Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Stable-dreamfusion: Text-to-3d with stable-diffusion, 2022
Jiaxiang Tang · 2022
Cited alongside, same era.
Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation
Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A Yeh, and Greg Shakhnarovich · 2022
Cited alongside, same era.
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, and Ravi Ramamoorthi · 2023
Closest in time.
Instruct-nerf2nerf: Editing 3d scenes with instructions
Ayaan Haque, Matthew Tancik, Alexei Efros, Aleksander Holynski, and Angjoo Kanazawa · 2023
Closest in time.
Amir Hertz, Kfir Aberman, and Daniel Cohen-Or · 2023
Closest in time.
Text2room: Extracting textured 3d meshes from 2d text-to-image models
Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, and Matthias Nießner · 2023
Closest in time.
Magic3d: High-resolution text-to-3d content creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin · 2023
Closest in time.
Zero-1-to-3: Zero-shot one image to 3d object, 2023
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, and Carl Vondrick · 2023
Closest in time.
Realfusion: 360° reconstruction of any object from a single image
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, and Andrea Vedaldi · 2023
Closest in time.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
Closest in time.
Diffcollage: Parallel generation of large content with diffusion models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, and Ming yu Liu · 2023
Closest in time.
Sparsefusion: Distilling view-conditioned diffusion for 3d reconstruction
Zhizhuo Zhou and Shubham Tulsiani · 2023
Closest in time.