Seedream 3.0 Technical Report

Term-weighting approaches in automatic text retrieval

Gerard Salton and Christopher Buckley · 1988

Earlier work this paper cites.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017

Earlier work this paper cites.

Stochastic stein discrepancies

Jackson Gorham, Anant Raj, and Lester Mackey · 2020

Earlier work this paper cites.

Denoising diffusion probabilistic models

Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020

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.

Elucidating the design space of diffusion-based generative models

Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022

Earlier work this paper cites.

Flow matching for generative modeling

Original

Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le · 2022

Earlier work this paper cites.

High-resolution image synthesis with latent diffusion models

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022

Earlier work this paper cites.

Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution

Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M Alabdulmohsin, et al · 2023

Cited alongside, same era.

Dinov2: Learning robust visual features without supervision

Original

Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023

Cited alongside, same era.

Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis

Original

Xiaoshi Wu, Yiming Hao, Keqiang Sun, Yixiong Chen, Feng Zhu, Rui Zhao, and Hongsheng Li · 2023

Cited alongside, same era.

Scaling rectified flow transformers for high-resolution image synthesis

Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024

Cited alongside, same era.

Roformer: Enhanced transformer with rotary position embedding

Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu · 2024

Later among the works it cites.

Representation alignment for generation: Training diffusion transformers is easier than you think

Original

Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, and Saining Xie · 2024

Later among the works it cites.

Learning multi-dimensional human preference for text-to-image generation

Sixian Zhang, Bohan Wang, Junqiang Wu, Yan Li, Tingting Gao, Di Zhang, and Zhongyuan Wang · 2024

Later among the works it cites.

artificialanalysis

artificialanalysis.ai · 2025

Closest in time.

Seedream 2.0: A native chinese-english bilingual image generation foundation model

Original

Lixue Gong, Xiaoxia Hou, Fanshi Li, Liang Li, Xiaochen Lian, Fei Liu, Liyang Liu, Wei Liu, Wei Lu, Yichun Shi, et al · 2025

Closest in time.