Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models | Paper Citation Record

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

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This paper cites Training Diffusion Models with Reinforcement Learning.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Training Diffusion Models with Reinforcement Learning

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This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

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This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

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

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

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This paper cites RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Tenenbaum

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Decoupled Weight Decay Regularization

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models In European Conference on Computer Vision

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Peter Welinder, Paul F Christiano, Jan Leike, and Ryan Lowe

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86a2a273-bc55-45ec-adcb-fa286c12a4df · outbound

This paper cites Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.933964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8235f5b8-7a6d-45df-bef1-4216843223dc · outbound

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.955690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e3ea5343-2136-444d-9bf5-2cb1891bf806 · outbound

This paper cites Jaakkola.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Jaakkola

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:46.944914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de22f1e3-0b02-4993-a757-3026762f4ced · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.933178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29842ec0-6097-46be-ad1f-3d019c5ee9f6 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.999370Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c48c4205-9af5-4585-bae9-3786bb0841d5 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.988435Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88d704b8-9aee-404d-8c74-c1455903056d · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.954201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dda0fe2b-2de4-4eec-8655-0b1dd1c6a57f · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.892117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e8432bdb-45ff-44b0-a377-be31246f25fa · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.966109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84e4110a-6b7d-4a20-b180-0f8a2f10518e · outbound

This paper cites IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.994380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42190a0-bec5-4abe-abb8-59599320b1a8 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 72

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:54:46.228732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a2b8b48-3950-419a-8cb3-22311660f228 · outbound

This paper cites MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:46.001389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0537e5a-d46d-4278-94d3-c6b80a97d95c · outbound

This paper cites Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.973987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e53b1e-4797-45cf-b317-621272528784 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.977456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ff28aa-7def-48a2-9db7-c96a35289914 · outbound

This paper cites In Proceedings of the 41st International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models In Proceedings of the 41st International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:46.915438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0bd8e3b1-eb12-4764-b686-cea3aebb8fa2 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.903578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c59f979-4ab7-4988-b259-d1af31b4b372 · outbound

This paper cites RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.990595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5802ff5d-1a73-4639-8cc2-8bdf714141a2 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.881280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5e7f815-fffc-45c5-a114-232a3c3a43b7 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 84

Resolution: verified exact; doi, observed 2026-08-06T17:54:46.870837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ce5c4d6-69d9-48a7-a1b1-7d7cfa01be92 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:46.860390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 56b2d825-72fc-4506-bf1f-807eaf3f117c · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 86

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:54:46.131756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a25e4452-7949-4eb7-b8d9-7bb95ef6209d · outbound

This paper cites International Journal of Computer Vision 123, 1 (2017), 32–73.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models International Journal of Computer Vision 123, 1 (2017), 32–73

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:47.206672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4d8258d-cef0-461b-a208-25361aa80073 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.709473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c47eedb2-9716-40be-a319-9502542f3eb5 · outbound

This paper cites In Proceedings of the 32nd ACM International Conference on Multimedia (MM ’24).

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models In Proceedings of the 32nd ACM International Conference on Multimedia (MM ’24)

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.792701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 283b817d-846f-43d6-8a91-24bb76b12251 · outbound

This paper cites Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.737141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers