Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T22:25:12.526450Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 0 inbound Pith citation observations for arXiv:2607.24157.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T22:25:12.526450Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
96 of 96 outbound references displayed
External citation measurements
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Observation af6a442e-3ac7-4938-b681-45bd5baa5f8e · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Estimating and exploiting the aleatoric uncertainty in surface normal estimation
Reference 1
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Observation d4712f1a-5733-4ad0-8a33-57c96b920f77 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Refereverything: Towards segmenting everything we can speak of in videos
Reference 2
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Observation aa1cfb72-04ac-47b6-9313-3644dcc5b5b3 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Qwen2.5-VL Technical Report
Reference 3
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Observation 231f887d-ea4d-4b76-b420-290006245df8 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Sequential modeling enables scalable learning for large vision models
Reference 4
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Observation 5f9c88bc-73a7-490f-9c7d-6116b49c864e · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unresolved cited work
Reference 5
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Observation f1696e1b-fa18-4130-b051-54a377786d30 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Improving image generation with better captions.Computer Science
Reference 6
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Observation fa01234a-19f4-43c7-9840-2440f9979359 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Instructpix2pix: Learning to follow image edit- ing instructions
Reference 7
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Observation 015c49d0-cd99-46cb-898a-1bd6b42af204 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual Generation Without Guidance
Reference 8
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Observation 9b1224f5-4a29-4782-b763-177aa1593be7 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Scaling instruction-finetuned language models.JMLR, 2024
Reference 9
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Observation a1cf275e-9ccd-4201-bbdb-cfdc42b442eb · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 10
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Observation 8016f4a0-d2f6-498a-9543-872c29950ca5 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Instructir: High-quality image restoration following human instructions
Reference 11
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Observation 5d5419ae-b72f-4812-b0cc-0c6dee8845c9 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Emerging Properties in Unified Multimodal Pretraining
Reference 12
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Observation f4554b91-259c-49da-9dee-0fa50156f916 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Imagenet: A large-scale hierarchi- cal image database
Reference 13
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Observation b9e07590-96c7-4353-b3ad-40763a4dd129 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Vision-language transformer and query genera- tion for referring segmentation
Reference 14
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Observation 0785f655-fca9-4d4b-969d-4e1140330e06 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Scaling rectified flow transformers for high-resolution image synthesis
Reference 15
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Observation aab1004c-f626-46f1-9719-b9d5c357aab3 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
Reference 16
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Observation 8fa65489-5027-477a-84dd-cacb73309439 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Removing rain from single images via a deep detail network
Reference 17
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Observation 2c0ddf29-a741-4b48-8d3a-a142485c3966 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
Reference 18
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Observation 9b80db01-0f0d-4eed-bf1a-25d6355ad7d3 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Reference 19
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Observation 15d8c122-4f41-4c45-a7a4-069feb3eed6c · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Geneval: An object-focused framework for evaluating text-to-image alignment.NeurIPS, 2023
Reference 20
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Observation 0aec3c25-ec3c-4859-9471-d528c50cf1f7 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Vector quantized diffusion model for text-to- image synthesis
Reference 21
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Observation e31f1a5e-c7fa-47ba-a508-fcb96e784532 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Infin- ity: Scaling bitwise autoregressive modeling for high- resolution image synthesis
Reference 22
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Observation 84552ca4-33e6-4d78-803e-f9611a4dda57 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
Reference 23
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Observation c8cabaf5-c8cd-4b7d-a5d7-c3478d797d06 · outbound
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Reference 24
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Observation 51781b98-6bc3-4c3d-916c-1cd05424d698 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Gans trained by a two time-scale up- date rule converge to a nash equilibrium
Reference 25
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Observation ca2dad9f-bba5-429f-a210-beec63a12208 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Denoising diffusion probabilistic models.NeurIPS, 2020
Reference 26
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Observation c4c1a126-225a-4c49-9d64-ec8723b51693 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling We- gen: A unified model for interactive multimodal gen- eration as we chat
Reference 27
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Observation b414056c-e019-47b3-8885-34734ac17bad · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling GPT-4o System Card
Reference 28
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Observation c2cdd910-9f0b-4106-99cc-4e7822d3b419 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unified language-vision pretrain- ing in llm with dynamic discrete visual tokenization
Reference 29
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Observation d32d2bcd-5a3b-4122-bc22-253d4543b9e1 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Video-lavit: Unified video- language pre-training with decoupled visual-motional tokenization.arXiv preprint arXiv:2402.03161, 2024
Reference 30
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Observation 2a1c3dcd-356a-4de8-b3c6-d174d86e22e2 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Repurposing diffusion-based image generators for monocular depth estimation
Reference 31
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Observation c1ce9ff2-7ba4-44d1-bf5a-b655501feca7 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Auto-Encoding Variational Bayes
Reference 32
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Observation d8f05da1-551a-402f-a76a-3bd1ceb7b857 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Generating images with multimodal language models
Reference 33
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Observation 85878a66-cb0b-4f8f-b517-239758e8d597 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unleashing in- context learning of autoregressive models for few-shot image manipulation
Reference 34
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Observation 3e0e1a7d-f80f-44d2-9b65-b62adb5a1881 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Lisa: Reason- ing segmentation via large language model
Reference 35
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Observation cccb1f47-df3d-458f-9c0b-7d06d736ae4e · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling All-in-one image restora- tion for unknown corruption
Reference 36
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Observation cd358879-c884-476a-978b-545f7e2af462 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling ImageFolder: Autoregressive Image Generation with Folded Tokens
Reference 37
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Observation a97e0a8b-e8fd-4119-9a1a-2a8bf26844e0 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling BrushEdit: All-In-One Image Inpainting and Editing
Reference 38
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Observation a5c59884-995f-4e48-bf5e-1b1ffe0925a8 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visualcloze: A universal image generation framework via visual in-context learning
Reference 39
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Observation f279ba0b-f1ff-424b-9ae6-0ce9dea986ed · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 40
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Observation 80fc214a-9bbf-4e59-9eda-5eece282cbcf · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual instruction tuning.NeurIPS,
Reference 41
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Observation 8326ca7a-5ede-443b-b5e0-eab0d85b20b8 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Improved baselines with visual instruction tun- ing
Reference 42
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Observation 11be3b96-43da-414c-a9db-57236ecc69a7 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Step1X-Edit: A Practical Framework for General Image Editing
Reference 43
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Observation 2b091bdb-d3a7-4937-92e7-22247fdeacb8 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Decoupled Weight Decay Regularization
Reference 44
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Observation 5792015c-7b09-4844-ad46-4aa3ae0fcff8 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Reference 45
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Observation 045ad8d9-9239-4c51-b723-7ba249263b4e · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Unified-io 2: Scaling au- toregressive multimodal models with vision language audio and action
Reference 46
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Observation 16d6dea3-7374-493d-a76d-54b5d27291ca · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Multi- task collaborative network for joint referring expres- sion comprehension and segmentation
Reference 47
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Observation 4617ca67-b4a3-4d52-b1cd-c31c7c0dec31 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
Reference 48
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Observation 59adc718-84bd-4d2f-b457-e55dd94f22a7 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual autoregressive modeling for instruction-guided image editing.arXiv preprint arXiv:2508.15772,
Reference 49
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Observation 08225278-32bc-43ec-96d5-c6fcf3c042c1 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Deep multi-scale convolutional neural network for dy- namic scene deblurring
Reference 50
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Observation c3140dda-cb53-4d50-a7b9-a704c8732e78 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Reference 51
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Observation f1bf9407-fd57-46bd-b584-83f971ba7cd5 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Transfer between Modalities with MetaQueries
Reference 52
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Observation 7098bfb0-794a-450f-abfe-77f6251ff240 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 53
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Observation 7b8afe61-7b65-4fdd-9800-37704d6abed0 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual Autoregressive Modeling for Image Super-Resolution
Reference 54
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Observation 72e668ae-8e79-4956-a90b-fe29cd1fa75b · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 55
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Observation 0c3b323e-fea5-4775-a814-0c3b8438ebd1 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling High- resolution image synthesis with latent diffusion mod- els
Reference 56
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Observation 8e65ae95-452e-483c-bc48-f69654095d5b · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
Reference 57
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Observation ac802f96-d384-4060-af78-f3a105e4494e · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 58
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Observation 701ec53c-3d93-48cb-9a7f-485e88bdf4b3 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Continuous Visual Autoregressive Generation via Score Maximization
Reference 59
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Observation 7a101895-df3e-4ee7-8d4b-2ae0bef2de74 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Emu edit: Precise image editing via recognition and generation tasks
Reference 60
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Observation 3a549291-141d-4032-aca1-1b683144ca29 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Indoor segmentation and support in- ference from rgbd images
Reference 61
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Observation 48c112d3-be58-48d4-a921-0d29d61becea · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Reference 62
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Observation 1b0d6cda-314d-421c-8fa9-a22aff396974 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Emu: Generative Pretraining in Multimodality
Reference 63
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Observation 312004ea-31bf-4222-8084-c1a26a8e25ed · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Generative multi- modal models are in-context learners
Reference 64
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Observation 1dbba8e2-49a4-4769-8392-bf3f0ab74947 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
Reference 65
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Observation d0407919-c8d0-4e6b-880e-3121c98e042b · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling UGen: Unified Autoregressive Multimodal Model with Progressive Vocabulary Learning
Reference 66
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Observation 77353f5f-9b4f-4b24-b5cd-3601d8c98cbc · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Codi-2: In- context interleaved and interactive any-to-any genera- tion
Reference 67
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Observation e1090e1a-92fe-436c-9f70-b4e87b4038a7 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Chameleon: Mixed-Modal Early-Fusion Foundation Models
Reference 68
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Observation 19852e8e-6ed6-4c12-b54d-43e0a6b18275 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Visual autoregressive modeling: Scalable image generation via next-scale prediction
Reference 69
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Observation 99ca34ec-d16b-44c0-b099-e2cc64d90db1 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Neural discrete representation learning.NeurIPS, 2017
Reference 70
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Observation 19b39dc7-af7f-44bb-9f8c-ec145acd1cf1 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis
Reference 71
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Editinfinity: Image editing with binary-quantized generative models.arXiv preprint arXiv:2510.20217, 2025
Reference 72
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Scalable autoregressive monocular depth estima- tion
Reference 73
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Images speak in images: A gener- alist painter for in-context visual learning
Reference 74
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Emu3: Next-Token Prediction is All You Need
Reference 75
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Observation f1ce38e8-0954-4784-9e13-85bab18b492f · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Training-Free Text-Guided Image Editing with Visual Autoregressive Model
Reference 76
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Deep Retinex Decomposition for Low-Light Enhancement
Reference 77
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Observation 7cd61ee7-babe-4d5a-8ef3-f71f8bcb8240 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Omniedit: Building im- age editing generalist models through specialist super- vision
Reference 78
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Janus: Decou- pling visual encoding for unified multimodal under- standing and generation
Reference 79
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Observation b2d64675-c013-4a37-875c-afaf0af2e205 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Qwen-Image Technical Report
Reference 80
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling OmniGen2: Towards Instruction-Aligned Multimodal Generation
Reference 81
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Observation f8275d40-b326-4ff3-8d6c-c81e75be37b7 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
Reference 82
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Observation 56998093-8e60-433b-a06c-b5342919fc38 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Omnigen: Unified image generation
Reference 83
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Observation eb20b369-23ab-46c5-98fa-cdd2d7780366 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Reference 84
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Observation d8d5dac1-99f0-4cd4-a6d4-73df69eb32d6 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Universal instance perception as object discovery and retrieval
Reference 85
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Observation b3d5856c-0454-46d2-a589-a40d4e97d264 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Depth any- thing: Unleashing the power of large-scale unlabeled data
Reference 86
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Observation 3c76708c-7e80-47ff-a767-2da251d8f7e6 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Lavt: Language-aware vision transformer for referring im- age segmentation
Reference 87
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Observation 1d31e769-3505-4918-999e-f24200b72bf9 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Inverted pyramid multi-task transformer for dense scene understanding
Reference 88
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Modeling context in refer- ring expressions
Reference 89
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Observation da0e89d6-0140-48f0-9ed0-06b7cebddaeb · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space
Reference 90
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Nextflow: Unified se- quential modeling activates multimodal understand- ing and generation.arXiv preprint arXiv:2601.02204,
Reference 91
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Uni-controlnet: All-in-one control to text-to- image diffusion models.NeurIPS, 2023
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Diff-2-in-1: Bridging generation and dense perception with diffusion mod- els
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
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Observation 859dc7c9-0f5e-4c63-8d98-26e7d0516f98 · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling Training-free geometric image editing on diffusion models
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Observation 2483e1c5-8177-4b4e-be7f-ee2e17676c4b · outbound
UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model
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