Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget | Paper Citation Record

Observation f75c1e18-ec9d-4f06-ab7e-dc6961f8df88 · outbound

This paper cites an unresolved cited work.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Unresolved cited work

Reference 1

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Observation 065d2d06-4f77-4ec1-8a6a-fe423e7d5973 · outbound

This paper cites Ideogram 4.https://ideogram.ai/blog/ideogram-4.0/, 2026.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Ideogram 4.https://ideogram.ai/blog/ideogram-4.0/, 2026

Reference 2

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Observation f66f1c88-641b-4614-804a-da07dbc6fbbd · outbound

This paper cites Qwen3-VL Technical Report.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Qwen3-VL Technical Report

Reference 3

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This paper cites Qwen2.5-VL Technical Report.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Qwen2.5-VL Technical Report

Reference 4

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Observation ddd8f2fc-b920-4a3b-841b-74fe98cb43bc · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Reference 5

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Observation 3c57dcef-d81b-4db0-a15b-9dde2a0865c7 · outbound

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

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Improving image generation with better captions.Computer Science

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Observation 9611a8b6-6332-4c86-beb7-2acd03074d41 · outbound

This paper cites Announcing Black Forest Labs: Black forest labs’ inaugural model suite, FLUX.1, 2024.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Announcing Black Forest Labs: Black forest labs’ inaugural model suite, FLUX.1, 2024

Reference 7

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Observation 61d5e663-1719-497a-814f-f647ae23e963 · outbound

This paper cites FLUX.2: Analyzing and enhancing the latent space of FLUX – representation comparison, 11.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget FLUX.2: Analyzing and enhancing the latent space of FLUX – representation comparison, 11

Reference 8

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Observation 03749cc6-d98c-453d-9b5a-f950fe6a3ed2 · outbound

This paper cites Flux.2: Production-grade ai image generation and editing model with 4mp photorealistic output and multi-reference control.https://bfl.ai/models/flux-2, 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Flux.2: Production-grade ai image generation and editing model with 4mp photorealistic output and multi-reference control.https://bfl.ai/models/flux-2, 2025

Reference 9

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Observation c12ec047-d7e2-400a-91c8-460d904a884a · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Large scale GAN training for high fidelity natural image synthesis

Reference 10

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Observation 259a7151-5308-4b2f-a9b8-a1119afb0c65 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Instructpix2pix: Learning to follow image editing instructions

Reference 11

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Observation e0a0416a-cfc7-4528-9f55-5356a84cde8e · outbound

This paper cites Video generation models as world simulators.OpenAI Blog, 1(8):1, 2024.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Video generation models as world simulators.OpenAI Blog, 1(8):1, 2024

Reference 12

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Observation 99c4ee04-a9e4-4be9-8fb1-85f47340b849 · outbound

This paper cites Coyo-700m: Image-text pair dataset.https://github.com/kakaobrain/coyo-dataset, 2022.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Coyo-700m: Image-text pair dataset.https://github.com/kakaobrain/coyo-dataset, 2022

Reference 13

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Observation 6f85faa0-662d-440b-a022-9a3e63747382 · outbound

This paper cites Seedream 4.5.https://seed.bytedance.com/en/seedream4_5, 2026.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Seedream 4.5.https://seed.bytedance.com/en/seedream4_5, 2026

Reference 14

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Observation ed3d5552-d504-4b08-a4da-8bbc71c5212c · outbound

This paper cites Seedream 5.0 lite.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Seedream 5.0 lite

Reference 15

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Observation cefddff5-b290-4d9e-8837-d75c549dc05b · outbound

This paper cites MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Reference 16

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Observation 7c448b51-6336-4511-b2b3-f0c670e2ca42 · outbound

This paper cites HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer

Reference 17

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Observation a42ccb62-a100-4276-961d-6d0d03c56213 · outbound

This paper cites Rwku: Benchmarking real-world knowledge unlearning for large language models.Advances in Neural Information Processing Systems, 37:98213–98263, 2024.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Rwku: Benchmarking real-world knowledge unlearning for large language models.Advances in Neural Information Processing Systems, 37:98213–98263, 2024

Reference 18

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Observation 5aee7ec5-5670-4a14-b0a5-a9fcb9744b44 · outbound

This paper cites HunyuanImage 3.0 Technical Report.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget HunyuanImage 3.0 Technical Report

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Observation a2a6725d-6fd7-401e-916e-f6262fe876d3 · outbound

This paper cites Extracting training data from diffusion models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Extracting training data from diffusion models

Reference 20

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Observation 3bf47c79-a902-40c7-92ea-b1dd3384aabc · outbound

This paper cites OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

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This paper cites Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models

Reference 22

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Observation 4b36701e-60ab-408f-a654-6e94ec38b917 · outbound

This paper cites Blip3o-next: Next frontier of native image generation, 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Blip3o-next: Next frontier of native image generation, 2025

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This paper cites Pixart-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis, 2023.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Pixart-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis, 2023

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This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

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This paper cites Reproducible vision-language models meet concepts out of pre-training.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Reproducible vision-language models meet concepts out of pre-training

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This paper cites Goodhart’s law: its origins, meaning and implications for monetary policy.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Goodhart’s law: its origins, meaning and implications for monetary policy

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Observation 8b276d22-9aae-4f4b-be51-1e40b1709dbc · outbound

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Unresolved cited work

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Imagenet: A large-scale hierarchical image database

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Hybrid llm: Cost-efficient and quality-aware query routing

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Cogview: Mastering text-to-image generation via transformers

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Documenting large webtext corpora: A case study on the colossal clean crawled corpus

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Observation a1e1ba21-7528-4e4b-8fa3-7c14c9e620a0 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget An image is worth 16x16 words: Transformers for image recognition at scale

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This paper cites Textcrafter: Accurately rendering multiple texts in complex visual scenes.arXiv e-prints, pp.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Textcrafter: Accurately rendering multiple texts in complex visual scenes.arXiv e-prints, pp

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Scaling rectified flow transformers for high-resolution image synthesis

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Datacomp: in search of the next generation of multimodal datasets

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Lumina-t2x: Scalable flow-based large diffusion transformer for flexible resolution generation

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Seedream 3.0 Technical Report

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Geneval: An object-focused framework for evaluating text-to-image alignment

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Introducing nano banana pro, 2025

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Nano banana 2: Combining pro capabilities with lightning-fast speed, 2026

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This paper cites Imagen 4.0.https://deepmind.google/models/imagen/, 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Imagen 4.0.https://deepmind.google/models/imagen/, 2025

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Gemini 3.1 pro - model card

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Accelerate: Training and inference at scale made simple, efficient and adaptable

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation

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Observation cca0c50c-a931-40fd-acbb-3d69f9e1bdfb · outbound

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Shampoo: Preconditioned Stochastic Tensor Optimization

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This paper cites Optimizing prompts for text-to-image generation.Advances in Neural Information Processing Systems, 36:66923–66939, 2023.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Optimizing prompts for text-to-image generation.Advances in Neural Information Processing Systems, 36:66923–66939, 2023

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Deep residual learning for image recognition

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Observation c0cc6a4c-b5f7-4fbe-801c-9483c3d66e56 · outbound

This paper cites Gems: Agent-native multimodal generation with memory and skills.arXiv preprint arXiv:2603.28088, 2026.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Gems: Agent-native multimodal generation with memory and skills.arXiv preprint arXiv:2603.28088, 2026

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This paper cites Clipscore: A reference-free evaluation metric for image captioning.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Clipscore: A reference-free evaluation metric for image captioning

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Observation a965f2af-4b01-46f9-98f2-6259b803aeab · outbound

This paper cites Classifier-free diffusion guidance.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Classifier-free diffusion guidance

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Observation 8c979a0d-60cc-43b2-9825-aab8f399cb30 · outbound

This paper cites Denoising diffusion probabilistic models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Denoising diffusion probabilistic models

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Observation ffb03898-789a-4d9f-9f20-c7e65e4697ef · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

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Observation d4f0c738-1968-4d79-8708-6c0439bec751 · outbound

This paper cites Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering

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Observation 4c94ec62-ab7b-4d5c-9624-4155e452756c · outbound

This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.Advancesin Neural Information Processing Systems, 36: 78723–78747, 2023.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.Advancesin Neural Information Processing Systems, 36: 78723–78747, 2023

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Observation ba063118-0aa2-45fd-a584-c75445c3e781 · outbound

This paper cites APE: Agentic Prompt Enhancer for Image Generation and Editing.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget APE: Agentic Prompt Enhancer for Image Generation and Editing

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Observation c5011ab0-04f2-4d95-b2f1-0893b765c17f · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Scaling up visual and vision-language representation learning with noisy text supervision

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Observation 755a992f-99af-41f4-986e-694b341663e5 · outbound

This paper cites Geditbench v2: A human-aligned benchmark for general image editing.arXiv preprint arXiv:2603.28547, 2026.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Geditbench v2: A human-aligned benchmark for general image editing.arXiv preprint arXiv:2603.28547, 2026

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Observation 538c7555-23b1-48ab-b710-6830f180844e · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Muon: An optimizer for hidden layers in neural networks, 2024

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Observation 80de5ee0-b980-43fd-9f59-9b376e4b5d6a · outbound

This paper cites Scaling Laws for Neural Language Models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Scaling Laws for Neural Language Models

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Observation 50192b77-a8d2-4206-863e-b0b813aa884f · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Elucidating the design space of diffusion-based generative models

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Observation 1f9f2373-913a-437e-bfa2-655ada8ef4ab · outbound

This paper cites Analyzing and Improving the Training Dynamics of Diffusion Models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Analyzing and Improving the Training Dynamics of Diffusion Models

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Resolution: unresolved; no resolver link, observed 2026-08-02T06:13:57.216009Z

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Observation 04a0050a-c1e6-4be8-bed4-0d4e1b45ebbf · outbound

This paper cites Auto-Encoding Variational Bayes.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Auto-Encoding Variational Bayes

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Observation 2267cbb9-8e49-4103-9fa7-62647a3972de · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advancesin neural information processing systems, 36:36652–36663, 2023.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advancesin neural information processing systems, 36:36652–36663, 2023

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Observation 50b4faf5-9f72-4782-95a7-a07eeb4edde8 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Imagenet classification with deep convolutional neural networks

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Observation 2530bb18-dd66-4894-9842-686a3f70b91b · outbound

This paper cites Kling-image-2.1.https://kling.ai/explore/kling_2.1_api, 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Kling-image-2.1.https://kling.ai/explore/kling_2.1_api, 2025

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Observation 4ff55b39-e1d7-422c-8704-f9522f870a07 · outbound

This paper cites Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32, 2019.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32, 2019

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Observation 48c8b77c-ecca-4584-bea4-b27ad8f95e79 · outbound

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Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Krea 2.https://www.krea.ai/blog/krea-2-technical-report, 2026

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Observation 5fbbbe22-1d65-450a-bd7e-799bf4e581b1 · outbound

This paper cites Qwen-image-bench: From generation to creation in text-to-image evaluation,.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Qwen-image-bench: From generation to creation in text-to-image evaluation,

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Observation ab592bfc-a6f0-46ee-898b-263ba1844a83 · outbound

This paper cites Omnicorpus: A unified multimodal corpus of 10 billion-level images interleaved with text.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Omnicorpus: A unified multimodal corpus of 10 billion-level images interleaved with text

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Observation d106f05c-e611-472e-b178-05939b2ff582 · outbound

This paper cites Reflect-dit: Inference-time scaling for text-to-image diffusion transformers via in-context reflection.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Reflect-dit: Inference-time scaling for text-to-image diffusion transformers via in-context reflection

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Observation 3cf9eb3e-3acd-4661-a627-9a159725b674 · outbound

This paper cites Holistic Evaluation of Language Models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Holistic Evaluation of Language Models

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Observation bba40d7e-840c-4703-b615-17d26829a106 · outbound

This paper cites Scaling laws for diffusion transformers.arXiv preprint arXiv:2410.08184, 2024.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Scaling laws for diffusion transformers.arXiv preprint arXiv:2410.08184, 2024

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Observation 83294cd2-6ba9-4983-9caf-3e87b519b8b4 · outbound

This paper cites Aegis: Exploring the limit of world knowledge capabilities for unified mulitmodal models.arXiv preprint arXiv:2601.00561, 2026.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Aegis: Exploring the limit of world knowledge capabilities for unified mulitmodal models.arXiv preprint arXiv:2601.00561, 2026

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Observation 2d35ffb8-c0b4-4ed0-ae88-409ad3f1bd86 · outbound

This paper cites Flow Matching for Generative Modeling.

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Observation 5c858956-67dd-4edf-92b1-c351d1bfc1ca · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

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Observation 85f32cd7-747d-45a2-8a92-63a6da5e5d70 · outbound

This paper cites ERNIE-Image Technical Report.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget ERNIE-Image Technical Report

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Observation 06c03042-f0b2-40e4-b62f-3b2100b9a800 · outbound

This paper cites Flow-grpo: Training flow matching models via online rl, 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Flow-grpo: Training flow matching models via online rl, 2025

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Observation 69616bd8-0930-4e78-8012-2c89c4e9de56 · outbound

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

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Step1X-Edit: A Practical Framework for General Image Editing

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Observation 62cdb099-cff2-440b-852b-b74a5be0a285 · outbound

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

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

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Observation d37fb147-be7c-4c12-803b-49c83bf35939 · outbound

This paper cites DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

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Observation 15bff975-6b88-4b74-8c77-6731e2feb991 · outbound

This paper cites Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Research, 22(4):730–751, June 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Research, 22(4):730–751, June 2025

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Observation e7c78af9-1734-4328-8a70-714b749a41ad · outbound

This paper cites Ovis: Structural Embedding Alignment for Multimodal Large Language Model.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Ovis: Structural Embedding Alignment for Multimodal Large Language Model

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Observation 83a1c502-6ea1-4e04-975d-4b659acf135d · outbound

This paper cites Murphy.Probabilistic Machine Learning: Advanced Topics.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Murphy.Probabilistic Machine Learning: Advanced Topics

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Observation 932d2aab-c4a1-408a-92bf-f40297455938 · outbound

This paper cites Some matrix-inequalities and metrization of matric-space.Tomsk.Univ.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Some matrix-inequalities and metrization of matric-space.Tomsk.Univ

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Observation 3bfc1697-7297-457d-940f-81c0916db196 · outbound

This paper cites Improveddenoisingdiffusionprobabilisticmodels.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Improveddenoisingdiffusionprobabilisticmodels

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Observation 4b5eb209-ee01-4f12-94ba-d9a297c6c03a · outbound

This paper cites WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

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Observation c96e4c6d-15f5-43a8-b0b6-02191a0fce95 · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

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Observation a11cee70-5056-46ee-8127-b20f9bd355c4 · outbound

This paper cites Gpt image 1.https://developers.openai.com/api/docs/models/gpt-image-1, 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Gpt image 1.https://developers.openai.com/api/docs/models/gpt-image-1, 2025

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Observation 6429ecc9-4650-4d1b-acee-f2c6f9d01816 · outbound

This paper cites Introducing chatgpt images 2.0, 2026.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Introducing chatgpt images 2.0, 2026

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Observation 7c3a3f45-ca7e-41c3-a48b-02775085e3bf · outbound

This paper cites The Neglected Tails in Vision-Language Models.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget The Neglected Tails in Vision-Language Models

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Observation 5f4faa72-776c-4c8d-9e17-56c2163a7f7d · outbound

This paper cites On aliased resizing and surprising subtleties in gan evaluation.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget On aliased resizing and surprising subtleties in gan evaluation

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Observation a08d4a57-272f-4bbe-bbaf-42e63e8049dc · outbound

This paper cites Scalable Diffusion Models with Transformers.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Scalable Diffusion Models with Transformers

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Observation 0ae2d21b-1cb2-4e24-b130-bdb5f5565789 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Sdxl: Improving latent diffusion models for high-resolution image synthesis

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Observation 9dbde912-babf-48c5-8464-718b6810e908 · outbound

This paper cites Qwen-image-2512: Finer details, greater realism.https://qwen.ai/blog?id= qwen-image-2512, 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Qwen-image-2512: Finer details, greater realism.https://qwen.ai/blog?id= qwen-image-2512, 2025

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Observation 6dfed77a-d776-4ce5-adf0-c74fbd9b45d6 · outbound

This paper cites Qwen-image-edit-2509: Multi-image support, improved consistency.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Qwen-image-edit-2509: Multi-image support, improved consistency

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Observation 29045739-ae7c-4be3-9af6-1644e456e694 · outbound

This paper cites Qwen-image-2511.https://qwen.ai/blog?id=qwen-image-2512, 2025.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget Qwen-image-2511.https://qwen.ai/blog?id=qwen-image-2512, 2025

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