STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Fuente:
arXiv
Saved in:
| Main Authors: | Gu, Jiatao, Chen, Tianrong, Berthelot, David, Zheng, Huangjie, Wang, Yuyang, Zhang, Ruixiang, Dinh, Laurent, Bautista, Miguel Angel, Susskind, Josh, Zhai, Shuangfei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows
by: Gu, Jiatao, et al.
Published: (2025)
by: Gu, Jiatao, et al.
Published: (2025)
Normalizing Flows are Capable Generative Models
by: Zhai, Shuangfei, et al.
Published: (2024)
by: Zhai, Shuangfei, et al.
Published: (2024)
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
by: Shen, Ying, et al.
Published: (2026)
by: Shen, Ying, et al.
Published: (2026)
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
by: Chen, Tianrong, et al.
Published: (2025)
by: Chen, Tianrong, et al.
Published: (2025)
Normalizing Flows with Iterative Denoising
by: Chen, Tianrong, et al.
Published: (2026)
by: Chen, Tianrong, et al.
Published: (2026)
Normalizing Trajectory Models
by: Gu, Jiatao, et al.
Published: (2026)
by: Gu, Jiatao, et al.
Published: (2026)
The Coupling Within: Flow Matching via Distilled Normalizing Flows
by: Berthelot, David, et al.
Published: (2026)
by: Berthelot, David, et al.
Published: (2026)
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows
by: Zhang, Ruixiang, et al.
Published: (2025)
by: Zhang, Ruixiang, et al.
Published: (2025)
Generative Modeling with Phase Stochastic Bridges
by: Chen, Tianrong, et al.
Published: (2023)
by: Chen, Tianrong, et al.
Published: (2023)
Improving GFlowNets for Text-to-Image Diffusion Alignment
by: Zhang, Dinghuai, et al.
Published: (2024)
by: Zhang, Dinghuai, et al.
Published: (2024)
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
by: Zhang, Yizhe, et al.
Published: (2023)
by: Zhang, Yizhe, et al.
Published: (2023)
TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models
by: Sampaio, Georgia Gabriela, et al.
Published: (2024)
by: Sampaio, Georgia Gabriela, et al.
Published: (2024)
Matryoshka Diffusion Models
by: Gu, Jiatao, et al.
Published: (2023)
by: Gu, Jiatao, et al.
Published: (2023)
How Far Are We from Intelligent Visual Deductive Reasoning?
by: Zhang, Yizhe, et al.
Published: (2024)
by: Zhang, Yizhe, et al.
Published: (2024)
3D Shape Tokenization via Latent Flow Matching
by: Chang, Jen-Hao Rick, et al.
Published: (2024)
by: Chang, Jen-Hao Rick, et al.
Published: (2024)
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
by: Gu, Jiatao, et al.
Published: (2024)
by: Gu, Jiatao, et al.
Published: (2024)
INRFlow: Flow Matching for INRs in Ambient Space
by: Wang, Yuyang, et al.
Published: (2024)
by: Wang, Yuyang, et al.
Published: (2024)
World-consistent Video Diffusion with Explicit 3D Modeling
by: Zhang, Qihang, et al.
Published: (2024)
by: Zhang, Qihang, et al.
Published: (2024)
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
by: Gu, Jiatao, et al.
Published: (2024)
by: Gu, Jiatao, et al.
Published: (2024)
Many-to-many Image Generation with Auto-regressive Diffusion Models
by: Shen, Ying, et al.
Published: (2024)
by: Shen, Ying, et al.
Published: (2024)
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
by: Zheng, Huangjie, et al.
Published: (2025)
by: Zheng, Huangjie, et al.
Published: (2025)
SimpleFold: Folding Proteins is Simpler than You Think
by: Wang, Yuyang, et al.
Published: (2025)
by: Wang, Yuyang, et al.
Published: (2025)
DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
by: Gong, Shansan, et al.
Published: (2025)
by: Gong, Shansan, et al.
Published: (2025)
One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
Scalable Pre-training of Large Autoregressive Image Models
by: El-Nouby, Alaaeldin, et al.
Published: (2024)
by: El-Nouby, Alaaeldin, et al.
Published: (2024)
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
by: Zhang, Ruixiang, et al.
Published: (2025)
by: Zhang, Ruixiang, et al.
Published: (2025)
Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
by: Gui, Ming, et al.
Published: (2025)
by: Gui, Ming, et al.
Published: (2025)
Manifold Diffusion Fields
by: Elhag, Ahmed A., et al.
Published: (2023)
by: Elhag, Ahmed A., et al.
Published: (2023)
Exclusive Self Attention
by: Zhai, Shuangfei
Published: (2026)
by: Zhai, Shuangfei
Published: (2026)
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation
by: Wang, Yuyang, et al.
Published: (2023)
by: Wang, Yuyang, et al.
Published: (2023)
Learning Long-term Motion Embeddings for Efficient Kinematics Generation
by: Stracke, Nick, et al.
Published: (2026)
by: Stracke, Nick, et al.
Published: (2026)
STARFlow: Spatial Temporal Feature Re-embedding with Attentive Learning for Real-world Scene Flow
by: Lu, Zhiyang, et al.
Published: (2024)
by: Lu, Zhiyang, et al.
Published: (2024)
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
by: Thornton, James, et al.
Published: (2025)
by: Thornton, James, et al.
Published: (2025)
Pseudo-Generalized Dynamic View Synthesis from a Video
by: Zhao, Xiaoming, et al.
Published: (2023)
by: Zhao, Xiaoming, et al.
Published: (2023)
Enhancing Low-resolution Image Representation Through Normalizing Flows
by: Bao, Chenglong, et al.
Published: (2026)
by: Bao, Chenglong, et al.
Published: (2026)
Mechanisms of Projective Composition of Diffusion Models
by: Bradley, Arwen, et al.
Published: (2025)
by: Bradley, Arwen, et al.
Published: (2025)
Embarrassingly Simple Self-Distillation Improves Code Generation
by: Zhang, Ruixiang, et al.
Published: (2026)
by: Zhang, Ruixiang, et al.
Published: (2026)
SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows
by: Zhao, Qinyu, et al.
Published: (2025)
by: Zhao, Qinyu, et al.
Published: (2025)
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
by: Zhou, Mingyuan, et al.
Published: (2024)
by: Zhou, Mingyuan, et al.
Published: (2024)
Score Distillation of Flow Matching Models
by: Zhou, Mingyuan, et al.
Published: (2025)
by: Zhou, Mingyuan, et al.
Published: (2025)
Similar Items
-
STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows
by: Gu, Jiatao, et al.
Published: (2025) -
Normalizing Flows are Capable Generative Models
by: Zhai, Shuangfei, et al.
Published: (2024) -
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
by: Shen, Ying, et al.
Published: (2026) -
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
by: Chen, Tianrong, et al.
Published: (2025) -
Normalizing Flows with Iterative Denoising
by: Chen, Tianrong, et al.
Published: (2026)