Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization | Paper Citation Record

Observation da92fc0e-3dc2-424e-acd0-5398b05fc4f4 · outbound

This paper cites VisMin: Visual Minimal-Change Understanding.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization VisMin: Visual Minimal-Change Understanding

Reference 1

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This paper cites Qwen2.5-VL Technical Report.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Qwen2.5-VL Technical Report

Reference 2

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Observation 397f5500-d34d-4245-a4b8-d14e052a5854 · outbound

This paper cites Improving image generation with better captions.Computer Science.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Improving image generation with better captions.Computer Science

Reference 3

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This paper cites Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models.ACMTransactionson Graphics(TOG), 42:1 – 10, 2023.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models.ACMTransactionson Graphics(TOG), 42:1 – 10, 2023

Reference 4

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This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 5

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Observation 884d61e2-7a99-4f7f-9b5c-98446b851b3a · outbound

This paper cites Gentron: Diffusion transformers for image and video generation.2024 IEEE/CVF Conferenceon ComputerVisionand PatternRecognition(CVPR), pages 6441–6451, 2023.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Gentron: Diffusion transformers for image and video generation.2024 IEEE/CVF Conferenceon ComputerVisionand PatternRecognition(CVPR), pages 6441–6451, 2023

Reference 6

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This paper cites DeepSeek-V3 Technical Report.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization DeepSeek-V3 Technical Report

Reference 7

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Observation 22c8f37c-3e86-4cd3-80a9-568ce0c8f71b · outbound

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

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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Observation 12e5ab3d-ad4a-4ba9-bcf9-e0935418d10a · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Scaling rectified flow transformers for high-resolution image synthesis

Reference 9

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This paper cites Dimba: Transformer-Mamba Diffusion Models.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Dimba: Transformer-Mamba Diffusion Models

Reference 10

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Observation 9bd29546-d6fa-46d9-9c78-ce15dbaf8ea9 · outbound

This paper cites Ranni: Taming text-to-image diffusion for accurate instruction following.2024IEEE/CVFConferenceonComputerVisionandPatternRecognition(CVPR), pages 4744–4753, 2023.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Ranni: Taming text-to-image diffusion for accurate instruction following.2024IEEE/CVFConferenceonComputerVisionandPatternRecognition(CVPR), pages 4744–4753, 2023

Reference 11

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Observation 4ce23e08-8cb8-4e1b-a379-7d7e40aea350 · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Geneval: An object-focused framework for evaluating text-to-image alignment

Reference 12

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This paper cites Contrafusion: Contrastively improving compositional understanding in diffusion models via fine-grained negative images.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Contrafusion: Contrastively improving compositional understanding in diffusion models via fine-grained negative images

Reference 13

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This paper cites MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis

Reference 14

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Observation c882f8b3-e18b-4f3f-8146-05a01988d4fb · outbound

This paper cites arXiv preprint arXiv:2406.06424 , year=.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization arXiv preprint arXiv:2406.06424 , year=

Reference 15

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Observation bcab43c5-1ad2-4ddd-8ff2-61ce94027cd1 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Lora: Low-rank adaptation of large language models

Reference 16

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This paper cites Ella: Equip diffusion models with llm for enhanced semantic alignment, 2024.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Ella: Equip diffusion models with llm for enhanced semantic alignment, 2024

Reference 17

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Observation 27dbad8e-e2ed-40b6-a4f2-e71b802a6e31 · outbound

This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 18

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Observation 284535c7-d273-4ca5-a1f0-286ab423d777 · outbound

This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 19

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This paper cites yes" or.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization yes" or

Reference 20

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Observation 9e90e67f-754f-46fc-97ec-e4e09aa3de87 · outbound

This paper cites Scalable Ranked Preference Optimization for Text-to-Image Generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Scalable Ranked Preference Optimization for Text-to-Image Generation

Reference 21

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Observation 510e5633-8fae-46cd-bcb5-89b3225bd7c7 · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2024.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Flux.https://github.com/black-forest-labs/flux, 2024

Reference 22

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Observation 303f0d4d-bc8c-4e45-ae45-e447a04a7648 · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Aligning Text-to-Image Models using Human Feedback

Reference 23

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This paper cites an unresolved cited work.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Unresolved cited work

Reference 24

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Observation 46780f46-8b9d-45b9-9b28-593598929161 · outbound

This paper cites Calibrated multi-preference optimization for aligning diffusion models.2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 18465–18475, 2025.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Calibrated multi-preference optimization for aligning diffusion models.2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 18465–18475, 2025

Reference 25

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This paper cites Playground v2.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Playground v2

Reference 26

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Observation cb6d2f2b-4f5b-423e-9a6a-40575aedd698 · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 27

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Observation 6f97e364-a2f8-43ea-bb8e-2bd33348ce8d · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Gligen: Open-set grounded text-to-image generation

Reference 28

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This paper cites LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 29

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This paper cites Llm-grounded diffusion: Enhancing prompt understanding of text-to-image diffusion models with large language models.Trans.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Llm-grounded diffusion: Enhancing prompt understanding of text-to-image diffusion models with large language models.Trans

Reference 30

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Observation 91ef9bd6-f350-468b-94b6-76255911bfef · outbound

This paper cites LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Reference 31

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Observation 42e4fffa-f157-4e67-88d8-e82c8036d534 · outbound

This paper cites Aesthetic post-training diffusion models from generic preferences with step-by-step preference optimization.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Aesthetic post-training diffusion models from generic preferences with step-by-step preference optimization

Reference 32

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This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 33

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Observation 582ff4b1-4d6c-49fb-a319-2788ecc4919d · outbound

This paper cites Eclipse: A resource-efficient text-to-imagepriorforimagegenerations.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Eclipse: A resource-efficient text-to-imagepriorforimagegenerations

Reference 34

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Observation 183dc7a8-7d43-4fb5-b305-1a7a1f153a78 · outbound

This paper cites Enhancing image layout control with loss-guided diffusion models.2025IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 3916–3924, 2024.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Enhancing image layout control with loss-guided diffusion models.2025IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 3916–3924, 2024

Reference 35

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This paper cites Scalable diffusion models with transformers.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Scalable diffusion models with transformers

Reference 36

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Observation 6ad8a84f-e736-4331-ad3c-f7c5c9d1954b · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:23:28.317518Z

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Observation 4ac09c30-23ee-4d5c-ad04-cf8e721d43b0 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 38

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Observation 6ad5b72b-5caa-46ff-96a8-145544cd971b · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization SAM 2: Segment Anything in Images and Videos

Reference 39

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Observation 0dfba7f4-d6ed-44cc-9586-697314419e31 · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer

Reference 40

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Observation ec046f94-920a-4af2-a4d9-2e965bf65b65 · outbound

This paper cites Joty, and Nikhil Naik.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Joty, and Nikhil Naik

Reference 41

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Observation 4a0f52fc-1ad2-4af7-9ed1-3e5559e29059 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Emu3: Next-Token Prediction is All You Need

Reference 42

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Observation 835069a5-55c0-4959-9602-71d237bbe30c · outbound

This paper cites Instancediffusion: Instance- level control for image generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Instancediffusion: Instance- level control for image generation

Reference 43

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Observation db404a6b-ccc1-43c2-aba7-98f5806b4c31 · outbound

This paper cites Tokencompose: Text-to-image diffusion with token-level supervision.2024 IEEE/CVF Conferenceon ComputerVisionand PatternRecognition(CVPR), pages 8553–8564, 2023.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Tokencompose: Text-to-image diffusion with token-level supervision.2024 IEEE/CVF Conferenceon ComputerVisionand PatternRecognition(CVPR), pages 8553–8564, 2023

Reference 44

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Observation effb093e-0bbe-441b-9d17-e9717133fcc0 · outbound

This paper cites Qwen-Image Technical Report.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Qwen-Image Technical Report

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:23:28.264372Z

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Observation 449a95db-e5f9-44f2-89da-6a4985fa6fe7 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:23:28.266858Z

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Observation e4c0aaf3-2f4d-46d8-92d2-4d07a2b27c62 · outbound

This paper cites an unresolved cited work.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Unresolved cited work

Reference 47

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Observation 984973a1-1b85-409a-85f0-f32006326c4d · outbound

This paper cites Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion.2023IEEE/CVFInternational Conferenceon ComputerVision(ICCV), pages 7418–7427, 2023.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion.2023IEEE/CVFInternational Conferenceon ComputerVision(ICCV), pages 7418–7427, 2023

Reference 48

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Observation d25c841a-26d7-402b-88e4-7de930f84fb1 · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:23:28.262113Z

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Observation e5da4431-8128-489a-8fe0-2c0fdf5f475a · outbound

This paper cites ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

Reference 50

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Observation 276680a2-f601-4dcf-bb86-2f6e84230380 · outbound

This paper cites Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.259292Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b2376fc3-d09e-491b-ab3d-ff9d59f8ace6 · outbound

This paper cites CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.291397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 469978e9-f216-421d-9a3b-551371990134 · outbound

This paper cites Diffusionmodelasanoise-aware latent reward model for step-level preference optimization.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Diffusionmodelasanoise-aware latent reward model for step-level preference optimization

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.274092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 14a3fe6d-9416-4690-b1b3-fd2691a4c0ad · outbound

This paper cites an unresolved cited work.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-29T13:15:24.299457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b283f70-325c-4771-9399-2aeb653f65b2 · outbound

This paper cites Itercomp: Iterative composition-aware feedback learning from model gallery for text-to-image generation.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Itercomp: Iterative composition-aware feedback learning from model gallery for text-to-image generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-29T13:15:24.299457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a0a4529-8acb-4d06-9d30-ebdc5e3679fe · outbound

This paper cites ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.285430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c74e5544-ffba-43da-b3d8-8d7efb67f563 · outbound

This paper cites an unresolved cited work.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-29T13:15:24.299457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fee82bc0-6dc0-45e1-8278-a456b7da04f0 · outbound

This paper cites Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.299117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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