Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time | Paper Citation Record

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This paper cites In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=xEWooSOgaz.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=xEWooSOgaz

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Qwen Technical Report

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This paper cites In: The Thirteenth International Conference on Learning Representations (2024),https: //openreview.net/forum?id=MKvQH1ekeY.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: The Thirteenth International Conference on Learning Representations (2024),https: //openreview.net/forum?id=MKvQH1ekeY

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the International Conference on Computer Vision (ICCV) (2021)

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This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2024.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Findings of the Association for Computational Linguistics: EMNLP 2024

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This paper cites ACM trans- actions on Graphics (TOG)42(4), 1–10 (2023).

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time ACM trans- actions on Graphics (TOG)42(4), 1–10 (2023)

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This paper cites In: The Thirteenth International Con- ference on Learning Representations (2025),https://openreview.net/forum?id= E77uvbOTtp.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: The Thirteenth International Con- ference on Learning Representations (2025),https://openreview.net/forum?id= E77uvbOTtp

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Forty-first international conference on machine learning (2024)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

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This paper cites Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in Neural Information Processing Systems36, 52132–52152 (2023)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Text-to-Image Alignment in Denoising-Based Models through Step Selection

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: The Eleventh In- ternational Conference on Learning Representations (2023),https://openreview

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This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in neural information processing systems33, 6840–6851 (2020)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: NeurIPS 2021 Work- shop on Deep Generative Models and Downstream Applications (2021),https: //openreview.net/forum?id=qw8AKxfYbI

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in Neural Information Processing Systems36, 78723–78747 (2023)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the Computer Vision and Pattern Recognition Conference

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: European Conference on Computer Vision

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in Neural Information Processing Systems38, 108999–109019 (2026)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Zenodo (2021)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in Neural Information Processing Systems37, 76177–76209 (2024)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in neural information processing systems35, 26565–26577 (2022)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: The Fourteenth International Con- ference on Learning Representations (2026),https://openreview.net/forum?id= 11dzFZ2UM1

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in neural information processing systems36, 36652–36663 (2023) 18 X

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: European Conference on Computer Vision (ECCV)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: European conference on computer vision

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: The Twelfth International Conference on Learning Representa- tions (2024),https://openreview.net/forum?id=di52zR8xgf

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in Neural Information Processing Systems36, 3536–3559 (2023)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the Fifth BlackboxNLP workshop on analyzing and interpreting neural networks for NLP

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: The Thirteenth International Confer- ence on Learning Representations (2024)

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Advances in neural information processing systems35, 36479–36494 (2022)

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Observation 5e6e6c9d-bfc0-409c-b23e-f3479bfdff14 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the AAAI Conference on Artificial Intelligence

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Observation 5e46f3d0-86af-4fd0-89a9-93ce32d8b47a · outbound

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2022),https://openreview.net/forum?id=M3Y74vmsMcY

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Observation 85959d66-40bb-4cb9-ac79-328c696039f5 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 57

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Observation adc72721-200a-4d8d-9e33-5c0c84574bfa · outbound

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Unresolved cited work

Reference 58

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Observation eb70e39a-0e7e-47a5-b0fc-3bad83ad6ddf · outbound

This paper cites In: Interna- tional Conference on Learning Representations (2021),https://openreview.net/ forum?id=PxTIG12RRHS.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Interna- tional Conference on Learning Representations (2021),https://openreview.net/ forum?id=PxTIG12RRHS

Reference 59

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Observation f7ba796b-f3f5-45d0-bcdb-915b10473262 · outbound

This paper cites In: Forty-second In- ternational Conference on Machine Learning (2025),https://openreview.net/ forum?id=JpbqiD7n9r 20 X.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Forty-second In- ternational Conference on Machine Learning (2025),https://openreview.net/ forum?id=JpbqiD7n9r 20 X

Reference 60

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Observation 55c37e95-5362-45ee-9c8d-6685016a7e62 · outbound

This paper cites an unresolved cited work.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Unresolved cited work

Reference 61

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Observation 64c8b6a4-61aa-46b7-84c3-e494e75a9469 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion

Reference 62

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Observation 2eacb267-0bcd-4444-997e-0a38777a3636 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 63

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Observation 89e42825-193f-4e1d-8467-76305b2f1c92 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 64

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Observation d01d8e68-346a-48fd-bd17-e467069dd6f1 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 65

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Observation 3659f0ff-467d-47dc-b5fa-6219e52f566e · outbound

This paper cites Qwen-Image Technical Report.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Qwen-Image Technical Report

Reference 66

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Observation bf726995-3107-46cb-8a8f-2cdf2a790251 · outbound

This paper cites In: NeurIPS 2023 Workshop on Regu- latable ML (2023),https://openreview.net/forum?id=8WH2t9F0Ip.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: NeurIPS 2023 Workshop on Regu- latable ML (2023),https://openreview.net/forum?id=8WH2t9F0Ip

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Observation cc66d1d6-e453-4a7c-bece-c6e9ec8242fc · outbound

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: European Conference on Computer Vision (ECCV) (2024)

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Observation 400b9bdb-b2cc-444f-8175-dfc411372fe3 · outbound

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

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 69

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Observation 7d810b4f-c898-455e-8aff-7d49bd013f57 · outbound

This paper cites In: Proceedingsofthe37thInternationalConferenceonNeuralInformationProcessing Systems.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedingsofthe37thInternationalConferenceonNeuralInformationProcessing Systems

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Observation 0061446d-843a-4116-829a-f6a7bc1fadaa · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025).

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Reference 71

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Observation 704bc3e4-de5c-4d93-82a7-3e2ab94b4521 · outbound

This paper cites Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation

Reference 72

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Observation 7b5a7178-0516-4de5-88e0-570ad7f5e757 · outbound

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Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Unresolved cited work

Reference 73

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Observation ee7ef870-2b83-4898-a19d-8c632b92cf3b · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 74

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Observation 520ad7a9-ef5c-4dda-8086-996293f82701 · outbound

This paper cites an unresolved cited work.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time Unresolved cited work

Reference 75

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Observation 272c4991-1607-48a1-bede-7a2561b59c1f · outbound

This paper cites In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T11:42:04.354691Z

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Observation 14785e13-c499-4934-8054-7ddb675e0bc3 · outbound

This paper cites In: International Conference on Computer Vision (2025).

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time In: International Conference on Computer Vision (2025)

Reference 77

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Observation e65867a9-e216-4ada-9cf4-ff3f08bd7efe · outbound

This paper cites 2w(t) ∂zt ∂z ⊤ ∂ˆϵϕ(zt;c, t) ∂zt ⊤ (ˆϵϕ(zt;c, t)−ϵ) # . (S3) Sincez t =α tz+σ tϵ, we have ∂zt ∂z =α tI. (S4) Substituting yields ∇zLDiff =E t,ϵ.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time 2w(t) ∂zt ∂z ⊤ ∂ˆϵϕ(zt;c, t) ∂zt ⊤ (ˆϵϕ(zt;c, t)−ϵ) # . (S3) Sincez t =α tz+σ tϵ, we have ∂zt ∂z =α tI. (S4) Substituting yields ∇zLDiff =E t,ϵ

Reference 78

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Observation 392fcd14-2f88-4e2a-b8b8-ecbf1940ccaa · outbound

This paper cites As shown in Table S2 (top), the CLIP-only prior (Nlp=0) improves the standard baseline, while apply- ing LP-SDS optimization (Nlp >0) further boosts performance.

Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference Time As shown in Table S2 (top), the CLIP-only prior (Nlp=0) improves the standard baseline, while apply- ing LP-SDS optimization (Nlp >0) further boosts performance

Reference 79

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Reference 80

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