$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion | Paper Citation Record

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Unresolved cited work

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion https://api.semanticscholar.org/CorpusID:264403242 Improving image generation with better captions

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Training Diffusion Models with Reinforcement Learning

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This paper cites On the Design Fundamentals of Diffusion Models: A Survey.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion On the Design Fundamentals of Diffusion Models: A Survey

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

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This paper cites Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Unresolved cited work

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Directly Fine-Tuning Diffusion Models on Differentiable Rewards

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Learning to Segment Actions from Observation and Narration

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion GPTScore: Evaluate as You Desire

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

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This paper cites COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Temporal Alignment Networks for Long-term Video

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Optimizing Prompts for Text-to-Image Generation

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion CLIPScore: A Reference-free Evaluation Metric for Image Captioning

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Denoising Diffusion Probabilistic Models

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Aligning Text-to-Image Models using Human Feedback

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Aligning Diffusion Models by Optimizing Human Utility

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Learning To Recognize Procedural Activities with Distant Supervision

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion VideoDPO: Omni-Preference Alignment for Video Diffusion Generation

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Solving New Tasks by Adapting Internet Video Knowledge

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Generating Illustrated Instructions

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion End-to-End Learning of Visual Representations from Uncurated Instructional Videos

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Aligning Text-to-Image Diffusion Models with Reward Backpropagation

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Leveraging Procedural Knowledge and Task Hierarchies for Efficient Instructional Video Pre-training

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Diffusion Model Alignment Using Direct Preference Optimization

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Is ChatGPT a Good NLG Evaluator? A Preliminary Study

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion A Unified Agentic Framework for Evaluating Conditional Image Generation

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Large Language Models are not Fair Evaluators

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion InstructionBench: An Instructional Video Understanding Benchmark

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment

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$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

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This paper cites an unresolved cited work.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:42.997502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f38af04-436b-4d55-9f49-64e217bb05fa · outbound

This paper cites Visual Goal-Step Inference using wikiHow.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Visual Goal-Step Inference using wikiHow

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:43.097879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eeac2db-e9ca-433c-a022-eb5f4997b90a · outbound

This paper cites Cross-task weakly supervised learning from instructional videos.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Cross-task weakly supervised learning from instructional videos

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:03:43.631263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81dd66e2-cc78-4e95-a2c1-1c620547de33 · outbound

This paper cites online" 'onlinestring :=.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion online" 'onlinestring :=

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:43.313545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e48172-576e-493d-863d-9155ee43bf20 · outbound

This paper cites write newline.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion write newline

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:43.408265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers