MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching | Paper Citation Record

Observation edf6a6c7-ce92-4bd7-b772-46e9e46fc079 · outbound

This paper cites GPT-4 Technical Report.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching GPT-4 Technical Report

Reference 1

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Observation b364b493-4606-48a9-aa40-b00555b319f6 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Hallucination of Multimodal Large Language Models: A Survey

Reference 2

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Observation 465a4982-5d5a-46a3-af77-bf4515d9072c · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Training Diffusion Models with Reinforcement Learning

Reference 3

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Observation cf6a3d80-e5b3-42e3-accc-dbc568c503de · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 4

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This paper cites Language Models are Few-Shot Learners.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Language Models are Few-Shot Learners

Reference 5

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This paper cites In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G

Reference 6

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This paper cites In: ProceedingsoftheIEEE/CVFConferenceonComputerVisionandPatternRecog- nition.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: ProceedingsoftheIEEE/CVFConferenceonComputerVisionandPatternRecog- nition

Reference 7

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This paper cites In: The Fourteenth International Conference on Learning Representations (2026),https://openreview.net/forum?id=YkV0fnXgJA2, 3, 4, 7, 8, 10, 11.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: The Fourteenth International Conference on Learning Representations (2026),https://openreview.net/forum?id=YkV0fnXgJA2, 3, 4, 7, 8, 10, 11

Reference 8

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This paper cites Advances in Neural Information Processing Systems37, 135062–135093 (2024) 4.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Advances in Neural Information Processing Systems37, 135062–135093 (2024) 4

Reference 9

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This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 10

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This paper cites Advances in Neural Information Processing Sys- tems36, 79858–79885 (2023) 4.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Advances in Neural Information Processing Sys- tems36, 79858–79885 (2023) 4

Reference 11

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This paper cites Seedream 3.0 Technical Report.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Seedream 3.0 Technical Report

Reference 12

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This paper cites Huang et al.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Huang et al

Reference 13

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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This paper cites In: ICLR (2023) 4.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: ICLR (2023) 4

Reference 15

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This paper cites Advances in neural information processing systems33, 6840–6851 (2020) 4, 5.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Advances in neural information processing systems33, 6840–6851 (2020) 4, 5

Reference 16

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This paper cites Classifier-Free Diffusion Guidance.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Classifier-Free Diffusion Guidance

Reference 17

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This paper cites Iclr1(2), 3 (2022) 11.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Iclr1(2), 3 (2022) 11

Reference 18

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This paper cites HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Reference 19

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This paper cites VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation

Reference 20

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This paper cites International journal of computer vision128(7), 1956–1981 (2020) 10.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching International journal of computer vision128(7), 1956–1981 (2020) 10

Reference 21

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Unresolved cited work

Reference 22

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This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 23

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This paper cites MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Reference 24

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This paper cites Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

Reference 25

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 4.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024) 4

Reference 26

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This paper cites Flow Matching for Generative Modeling.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Flow Matching for Generative Modeling

Reference 27

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This paper cites In: The Thirty- ninthAnnualConferenceonNeuralInformationProcessingSystems(2025),https: //openreview.net/forum?id=oCBKGw5HNf2, 4, 6, 11.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: The Thirty- ninthAnnualConferenceonNeuralInformationProcessingSystems(2025),https: //openreview.net/forum?id=oCBKGw5HNf2, 4, 6, 11

Reference 28

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This paper cites Step1X-Edit: A Practical Framework for General Image Editing.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Step1X-Edit: A Practical Framework for General Image Editing

Reference 29

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This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 30

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This paper cites In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=E7YpL4L4Xh3, 5, 7.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=E7YpL4L4Xh3, 5, 7

Reference 31

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This paper cites Ad- vances in Neural Information Processing Systems37, 41494–41516 (2024) 4.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Ad- vances in Neural Information Processing Systems37, 41494–41516 (2024) 4

Reference 32

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This paper cites HPSv3: Towards Wide-Spectrum Human Preference Score.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching HPSv3: Towards Wide-Spectrum Human Preference Score

Reference 33

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This paper cites com / index / introducing-4o-image-generation/(2025), accessed: 2025-06-22 2, 4.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching com / index / introducing-4o-image-generation/(2025), accessed: 2025-06-22 2, 4

Reference 34

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This paper cites Lvlm-count: Enhancing the count- ing ability of large vision-language models.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Lvlm-count: Enhancing the count- ing ability of large vision-language models

Reference 35

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This paper cites Pico-banana-400k: A large-scale dataset for text-guided image editing.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Pico-banana-400k: A large-scale dataset for text-guided image editing

Reference 36

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This paper cites GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing

Reference 37

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This paper cites In: SC20: international conference for high performance computing, networking, storage and analysis.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: SC20: international conference for high performance computing, networking, storage and analysis

Reference 38

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

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This paper cites Generalization in Generation: A closer look at Exposure Bias.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Generalization in Generation: A closer look at Exposure Bias

Reference 40

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This paper cites Proximal Policy Optimization Algorithms.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Proximal Policy Optimization Algorithms

Reference 41

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 42

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This paper cites DINOv3.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching DINOv3

Reference 43

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This paper cites Advances in neural information processing systems34, 1415–1428 (2021) 4.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Advances in neural information processing systems34, 1415–1428 (2021) 4

Reference 44

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This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Score-Based Generative Modeling through Stochastic Differential Equations

Reference 45

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This paper cites Journal of Cognitive Neuroscience11(1), 126–134 (1999) 2, 4, 5.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Journal of Cognitive Neuroscience11(1), 126–134 (1999) 2, 4, 5

Reference 46

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This paper cites Vision Language Models are Biased.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Vision Language Models are Biased

Reference 47

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This paper cites Qwen-Image Technical Report.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Qwen-Image Technical Report

Reference 48

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This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 49

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This paper cites In: The Fourteenth In- ternational Conference on Learning Representations (2026),https://openreview.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: The Fourteenth In- ternational Conference on Learning Representations (2026),https://openreview

Reference 50

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This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 51

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: Proceedingsofthe37thInternationalConferenceonNeuralInformationProcessing Systems

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching DanceGRPO: Unleashing GRPO on Visual Generation

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Reference 54

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching $\texttt{Complex-Edit}$: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: Proceedings of the Computer Vision and Pattern Recognition Conference

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Advances in Neural Information Pro- cessing Systems36, 31428–31449 (2023) 4, 7

Reference 58

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Reference 59

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Reference 60

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: The Thirteenth International Conference on Learning Rep- resentations (2025),https://openreview.net/forum?id=84pDoCD4lH4

Reference 61

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching Advances in Neural Information Processing Systems37, 3058–3093 (2024) 4, 7

Reference 62

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 63

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MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching In: The Fourteenth International Conference on Learning Representations (2026),https://openreview.net/forum?id=VJZ477R89F2, 5, 6, 11 20 J

Reference 64

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Reference 69

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Reference 70

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Reference 71

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Reference 72

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Reference 74

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