Accelerate High-Quality Diffusion Models with Inner Loop Feedback | Paper Citation Record

Observation 7ef9e78a-d61f-400c-b77b-aebf53922553 · outbound

This paper cites All are worth words: A vit backbone for diffusion models, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback All are worth words: A vit backbone for diffusion models, 2023

Reference 1

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This paper cites Class-to-Image results, ImageNet, DiT 256x256.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Class-to-Image results, ImageNet, DiT 256x256

Reference 2

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This paper cites an unresolved cited work.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Unresolved cited work

Reference 3

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Observation 4c0ea5a2-a35d-49fc-a15b-6f41a877878b · outbound

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

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Pixart-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis, 2023

Reference 4

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Observation 309509bb-4713-429f-9077-bac4764fe27f · outbound

This paper cites Pixart- σ: Weak-to- strong training of diffusion transformer for 4k text-to- image generation, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Pixart- σ: Weak-to- strong training of diffusion transformer for 4k text-to- image generation, 2024

Reference 5

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Observation 6ee8de0f-d026-4c15-85fd-09385a53d623 · outbound

This paper cites Pixart- δ: Fast and controllable image generation with latent consistency models, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Pixart- δ: Fast and controllable image generation with latent consistency models, 2024

Reference 6

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Observation 4ca8cc74-62ac-4341-a47e-f1502da94517 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Diffusion models beat gans on image synthesis

Reference 7

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Observation ebe8e6c8-8178-46a7-aab6-8007de93c5a8 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Scaling rectified flow transformers for high-resolution image synthesis, 2024

Reference 8

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Observation e9879742-eec3-400e-9e34-c90819c68df3 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 9

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Observation 68f8626a-5996-4f8f-887f-9529f980289d · outbound

This paper cites Clipscore: A reference- free evaluation metric for image captioning, 2022.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Clipscore: A reference- free evaluation metric for image captioning, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:54.017813Z

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Observation 3d772287-dfee-41dd-bc39-1a6aa590a293 · outbound

This paper cites Dis- tilling the knowledge in a neural network, 2015.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Dis- tilling the knowledge in a neural network, 2015

Reference 11

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Observation bf0a3553-c387-4f2b-9b38-aafe60898c9f · outbound

This paper cites Denoising diffusion probabilistic models.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Denoising diffusion probabilistic models

Reference 12

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Observation b2c92d81-e702-41af-ad47-cbba54eac7a9 · outbound

This paper cites Kingma, Ben Poole, Mohammad Norouzi, David J.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Kingma, Ben Poole, Mohammad Norouzi, David J

Reference 13

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Observation 49680173-487a-4975-bfa8-d062d7fef1a5 · outbound

This paper cites Scedit: Efficient and controllable im- age diffusion generation via skip connection editing,.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Scedit: Efficient and controllable im- age diffusion generation via skip connection editing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.964848Z

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Observation 5b6fd28c-9bfd-454d-a215-2a9abc03abf7 · outbound

This paper cites Elucidating the design space of diffusion-based generative models, 2022.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Elucidating the design space of diffusion-based generative models, 2022

Reference 15

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Observation a76e1fb6-7102-4a10-b510-6b170f104e32 · outbound

This paper cites Imagic: Text-based real image editing with dif- fusion models.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Imagic: Text-based real image editing with dif- fusion models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.944658Z

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Observation 6885a761-3bd3-499a-86a7-2ef2b4806dce · outbound

This paper cites Auto-encoding variational bayes, 2014.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Auto-encoding variational bayes, 2014

Reference 17

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Observation 77112875-a0b2-42b9-b5db-536f9b2c2d6c · outbound

This paper cites Imagine flash: Accelerating emu diffu- sion models with backward distillation, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Imagine flash: Accelerating emu diffu- sion models with backward distillation, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.920960Z

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Observation 3908d0d0-fc8c-438e-ada5-7dd17f5e1370 · outbound

This paper cites Koala: Empirical lessons toward memory-efficient and fast diffusion models for text-to-image synthesis, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Koala: Empirical lessons toward memory-efficient and fast diffusion models for text-to-image synthesis, 2024

Reference 19

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Observation 8adc3e23-60ed-4d85-9a5d-749cc692625b · outbound

This paper cites Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.897584Z

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Observation e6931934-df2b-4408-8b7d-427f5d8ffbc8 · outbound

This paper cites Faster diffusion: Rethinking the role of unet encoder in diffusion models, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Faster diffusion: Rethinking the role of unet encoder in diffusion models, 2023

Reference 21

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Observation 98570f0b-c0ad-4682-9a4d-537ddd24ee0d · outbound

This paper cites Faster diffusion via temporal attention decomposition,.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Faster diffusion via temporal attention decomposition,

Reference 22

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Observation f2ffa0fd-a4d9-4839-8748-2e7d341b8eae · outbound

This paper cites Sora: A review on background, technology, limitations, and opportunities of large vision models,.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Sora: A review on background, technology, limitations, and opportunities of large vision models,

Reference 23

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Observation f8415659-0887-451f-9106-767ba84ff030 · outbound

This paper cites Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models, 2023

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.849432Z

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Observation 90779793-ba34-4db6-b396-f1c67ab7a4d3 · outbound

This paper cites Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.837924Z

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Observation 084d6051-4dc4-421e-a1ba-47790c10c4c5 · outbound

This paper cites Deep- cache: Accelerating diffusion models for free, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Deep- cache: Accelerating diffusion models for free, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.826530Z

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Observation e094b5dd-c3f8-4bac-85be-f53732ce2ee9 · outbound

This paper cites Learning-to-cache: Accelerating diffu- sion transformer via layer caching, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Learning-to-cache: Accelerating diffu- sion transformer via layer caching, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.814954Z

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Observation 47d4beed-fa36-4121-82be-cc873ce88fcf · outbound

This paper cites Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.802923Z

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Observation 1aa26c7c-6bd5-47f6-95cf-ec4343a24988 · outbound

This paper cites Glide: Towards photore- alistic image generation and editing with text-guided diffusion models, 2022.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Glide: Towards photore- alistic image generation and editing with text-guided diffusion models, 2022

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.791013Z

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Observation 5629779b-cd2d-4539-88d6-ba06d0577fbd · outbound

This paper cites Im- proved denoising diffusion probabilistic models.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Im- proved denoising diffusion probabilistic models

Reference 30

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Observation f22f5088-ef4a-47d9-a7ab-071a6494fde8 · outbound

This paper cites On aliased resizing and surprising subtleties in gan evalu- ation.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback On aliased resizing and surprising subtleties in gan evalu- ation

Reference 31

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Observation 885de1a5-33f6-4f87-b48d-ae65deceb8b7 · outbound

This paper cites Scalable diffusion models with transformers, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Scalable diffusion models with transformers, 2023

Reference 32

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This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 33

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Observation 34251ea1-af29-43da-8f8d-068bb31e0fe5 · outbound

This paper cites Learning trans- ferable visual models from natural language supervi- sion, 2021.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Learning trans- ferable visual models from natural language supervi- sion, 2021

Reference 34

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Accelerate High-Quality Diffusion Models with Inner Loop Feedback Unresolved cited work

Reference 35

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Observation c6b2cc88-cfbd-46b1-b5dc-d28d3216ad9c · outbound

This paper cites Hierarchical text- conditional image generation with clip latents, 2022.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Hierarchical text- conditional image generation with clip latents, 2022

Reference 36

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Observation dd5a8c99-45d3-4e89-9654-eed5c70a6d52 · outbound

This paper cites High- resolution image synthesis with latent diffusion mod- els, 2022.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback High- resolution image synthesis with latent diffusion mod- els, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.712085Z

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Observation ba98e3af-1f18-4801-b960-40d9209182df · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation, 2015.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback U-net: Convolutional networks for biomedical image segmentation, 2015

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.700672Z

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Observation 939096bb-48ae-4bbc-9f12-d1c05084329a · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.688848Z

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Observation 044c2927-f76d-4c06-a8a8-7b87268e4512 · outbound

This paper cites Berg, and Li Fei-Fei.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Berg, and Li Fei-Fei

Reference 40

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Observation 7c25c88d-7cc0-4a3f-8e17-98867c646ade · outbound

This paper cites Align your steps: Optimizing sampling schedules in diffusion models, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Align your steps: Optimizing sampling schedules in diffusion models, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.668572Z

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Observation 70472339-670a-4179-8519-24432b1fabb1 · outbound

This paper cites Photorealistic text- to-image diffusion models with deep language under- standing.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Photorealistic text- to-image diffusion models with deep language under- standing

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.658328Z

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Observation e7030f63-b3ce-4fb4-837a-8ba0679c74ee · outbound

This paper cites Progressive distilla- tion for fast sampling of diffusion models, 2022.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Progressive distilla- tion for fast sampling of diffusion models, 2022

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.646158Z

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Observation 021e4fa3-f13f-479b-ab04-4e413a83d24c · outbound

This paper cites Adversarial diffusion distillation,.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Adversarial diffusion distillation,

Reference 44

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Observation 1f0254f0-dfe6-4546-b360-5d844bfbd840 · outbound

This paper cites Fora: Fast-forward caching in diffusion transformer acceleration, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Fora: Fast-forward caching in diffusion transformer acceleration, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.626610Z

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Observation 8dc627ba-47d7-4e71-9328-1e31172b3703 · outbound

This paper cites Denoising diffusion implicit models, 2022.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Denoising diffusion implicit models, 2022

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.613586Z

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Observation 165b5b48-d590-4693-8e71-9493bab7106c · outbound

This paper cites Exploring clip for assessing the look and feel of im- ages.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Exploring clip for assessing the look and feel of im- ages

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.601668Z

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Observation eab3b5aa-e477-41e8-b92c-18c369105727 · outbound

This paper cites Cache me if you can: Accelerating diffusion models through block caching, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Cache me if you can: Accelerating diffusion models through block caching, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.589098Z

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Observation f59349bd-1a2e-49ac-b0b1-9b5504b697eb · outbound

This paper cites Imagereward: Learning and evaluating human prefer- ences for text-to-image generation, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Imagereward: Learning and evaluating human prefer- ences for text-to-image generation, 2023

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.577031Z

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Observation 510d2faf-2edd-44e7-b215-793f812518d2 · outbound

This paper cites Ufogen: You forward once large scale text-to- image generation via diffusion gans, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Ufogen: You forward once large scale text-to- image generation via diffusion gans, 2023

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.563882Z

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Observation 51710fed-401c-4a08-bbf8-385488961088 · outbound

This paper cites Diffusion models: A comprehen- sive survey of methods and applications, 2024.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Diffusion models: A comprehen- sive survey of methods and applications, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.549873Z

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Observation 27df8c00-88cd-441b-98ce-acffd42edfac · outbound

This paper cites Freeman, and Taesung Park.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Freeman, and Taesung Park

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.536479Z

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This paper cites Adadiff: Adaptive step selection for fast diffusion, 2023.

Accelerate High-Quality Diffusion Models with Inner Loop Feedback Adadiff: Adaptive step selection for fast diffusion, 2023

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:29:53.521984Z

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