Fetching the paper…
Reading the bibliography…
Score distillation sampling (SDS) has proven to be an important tool, enabling the use of large-scale diffusion priors for tasks operating in data-poor domains.
Sur la théorie relativiste de l’électron et l’interprétation de la mécanique quantique
E. Schrödinger · 1932
Earlier work this paper cites.
A survey of the schrödinger problem and some of its connections with optimal transport, 2013
Christian Léonard · 2013
Earlier work this paper cites.
On the relation between optimal transport and schrödinger bridges: A stochastic control viewpoint
Yongxin Chen, Tryphon T. Georgiou, and Michele Pavon · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Stochastic bridges of linear systems
Yongxin Chen and Tryphon Georgiou · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Differentiable vector graphics rasterization for editing and learning
Tzu-Mao Li, Michal Lukáč, Michaël Gharbi, and Jonathan Ragan-Kelley · 2020
Earlier work this paper cites.
Diffusion schrödinger bridge with applications to score-based generative modeling
Valentin De Bortoli, James Thornton, Jeremy Heng, and Arnaud Doucet · 2021
Earlier work this paper cites.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Earlier work this paper cites.
Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
Earlier work this paper cites.
Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
Earlier work this paper cites.
Deep generative learning via schrödinger bridge
Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, and Can Yang · 2021
Earlier work this paper cites.
eDiff-I: Text-to-image diffusion models with an ensemble of expert denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Qinsheng Zhang, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, et al · 2022
Earlier work this paper cites.
Likelihood training of schrödinger bridge using forward-backward sdes theory
Tianrong Chen, Guan-Horng Liu, and Evangelos A Theodorou · 2022
Earlier work this paper cites.
Clipdraw: Exploring text-to-drawing synthesis through language-image encoders
Kevin Frans, Lisa Soros, and Olaf Witkowski · 2022
Earlier work this paper cites.
Vector quantized diffusion model for text-to-image synthesis
Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, and Baining Guo · 2022
Earlier work this paper cites.
Imagen video: High definition video generation with diffusion models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P Kingma, Ben Poole, Mohammad Norouzi, David J Fleet, et al · 2022
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al · 2022
Earlier work this paper cites.
Zero-shot text-guided object generation with dream fields
Ajay Jain, Ben Mildenhall, Jonathan T Barron, Pieter Abbeel, and Ben Poole · 2022
Earlier work this paper cites.
Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
Earlier work this paper cites.
The role of imagenet classes in fréchet inception distance
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, and Jaakko Lehtinen · 2022
Earlier work this paper cites.
Contrastive denoising score for text-guided latent diffusion image editing
Hyelin Nam, Gihyun Kwon, Geon Yeong Park, and Jong Chul Ye · 2022
Earlier work this paper cites.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
Cited alongside, same era.
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Cited alongside, same era.
Denoising diffusion implicit models, 2022
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2022
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2023
Later among the works it cites.
Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, and Yaniv Taigman · 2023
Later among the works it cites.
Text-to-4d dynamic scene generation
Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, et al · 2023
Later among the works it cites.
Dreamgaussian: Generative gaussian splatting for efficient 3d content creation, 2023
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng · 2023
Later among the works it cites.
Textmesh: Generation of realistic 3d meshes from text prompts
Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, and Federico Tombari · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Dual diffusion implicit bridges for image-to-image translation
Xuan Su, Jiaming Song, Chenlin Meng, and Stefano Ermon · 2022
Cited alongside, same era.
4d-fy: Text-to-4d generation using hybrid score distillation sampling
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, and David B. Lindell · 2023
Cited alongside, same era.
Align your latents: High-resolution video synthesis with latent diffusion models
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis · 2023
Cited alongside, same era.
Diffusion illusions: Hiding images in plain sight, June 2023
Ryan Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, and Michael Ryoo · 2023
Cited alongside, same era.
Texfusion: Synthesizing 3d textures with text-guided image diffusion models
Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, and KangXue Yin · 2023
Cited alongside, same era.
Scenetex: High-quality texture synthesis for indoor scenes via diffusion priors
Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, and Matthias Nießner · 2023
Cited alongside, same era.
Text2tex: Text-driven texture synthesis via diffusion models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, and Matthias Nießner · 2023
Cited alongside, same era.
Later among the works it cites.
Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation
Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, and Greg Shakhnarovich · 2023
Later among the works it cites.
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu · 2023
Later among the works it cites.
Diffsketcher: Text guided vector sketch synthesis through latent diffusion models
Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, and Dong Xu · 2023
Later among the works it cites.
Svgdreamer: Text guided svg generation with diffusion model
Ximing Xing, Haitao Zhou, Chuang Wang, Jing Zhang, Dong Xu, and Qian Yu · 2023
Later among the works it cites.
Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models, 2023
Taoran Yi, Jiemin Fang, Junjie Wang, Guanjun Wu, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Qi Tian, and Xinggang Wang · 2023
Later among the works it cites.
Text-to-3d with classifier score distillation, 2023
Xin Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Song-Hai Zhang, and Xiaojuan Qi · 2023
Later among the works it cites.
Hifa: High-fidelity text-to-3d generation with advanced diffusion guidance, 2023
Junzhe Zhu and Peiye Zhuang · 2023
Later among the works it cites.
Sparse3d: Distilling multiview-consistent diffusion for object reconstruction from sparse views, 2023
Zi-Xin Zou, Weihao Cheng, Yan-Pei Cao, Shi-Sheng Huang, Ying Shan, and Song-Hai Zhang · 2023
Later among the works it cites.
Score distillation sampling with learned manifold corrective, 2024
Thiemo Alldieck, Nikos Kolotouros, and Cristian Sminchisescu · 2024
Closest in time.
Coin3d: Controllable and interactive 3d assets generation with proxy-guided conditioning
Wenqi Dong, Bangbang Yang, Lin Ma, Xiao Liu, Liyuan Cui, Hujun Bao, Yuewen Ma, and Zhaopeng Cui · 2024
Closest in time.
Visual anagrams: Generating multi-view optical illusions with diffusion models
Daniel Geng, Inbum Park, and Andrew Owens · 2024
Closest in time.
Dreamflow: High-quality text-to-3d generation by approximating probability flow
Kyungmin Lee, Kihyuk Sohn, and Jinwoo Shin · 2024
Closest in time.
Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models, 2024
Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, and Karsten Kreis · 2024
Closest in time.
Syncdreamer: Generating multiview-consistent images from a single-view image
Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, and Wenping Wang · 2024
Closest in time.
Score distillation via reparametrized ddim
Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan Greenewald, Vitor Campagnolo Guizilini, Timur Bagautdinov, Vincent Sitzmann, and Justin Solomon · 2024
Closest in time.
Generative proxemics: A prior for 3D social interaction from images
Lea Muller, Vickie Ye, Georgios Pavlakos, Michael J. Black, and Angjoo Kanazawa · 2024
Closest in time.
Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, and Bernard Ghanem · 2024
Closest in time.
MVDream: Multi-view diffusion for 3d generation
Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, and Xiao Yang · 2024
Closest in time.
Idempotent generative network
Assaf Shocher, Amil V Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, and Alexei A Efros · 2024
Closest in time.
Gpt-4v(ision) is a human-aligned evaluator for text-to-3d generation
Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas Guibas, Dahua Lin, and Gordon Wetzstein · 2024
Closest in time.
Paint-it: Text-to-texture synthesis via deep convolutional texture map optimization and physically-based rendering
Kim Youwang, Tae-Hyun Oh, and Gerard Pons-Moll · 2024
Closest in time.