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Paper Citation Record · LEDGER

Efficient and Training-Free Single-Image Diffusion Models

As of 21 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2606.04299.

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2606.04299 v1

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measured 79 of 79 reference resolution

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measured 79 of 79 standing notices

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measured 0 of 0 inbound itemization

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Reference resolution

79 of 79 outbound references displayed

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Outbound references

Observation 1ca1e42a-3216-4817-a68e-abdfcc9956d4 · outbound

This paper cites Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, and Tom Goldstein.

Efficient and Training-Free Single-Image Diffusion Models Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, and Tom Goldstein

Reference 1

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Observation e53e4a05-8d07-4fab-851f-33d3a9f60090 · outbound

This paper cites Text2LIVE: Text-driven layered image and video editing.

Efficient and Training-Free Single-Image Diffusion Models Text2LIVE: Text-driven layered image and video editing

Reference 2

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Observation 4f7cb0e0-3257-4bbc-8782-dbc4cad48c75 · outbound

This paper cites Patchmatch: A randomized correspon- dence algorithm for structural image editing.ACM Trans.

Efficient and Training-Free Single-Image Diffusion Models Patchmatch: A randomized correspon- dence algorithm for structural image editing.ACM Trans

Reference 3

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Observation 234f35eb-c663-4d0f-9b6f-99c26f5d9612 · outbound

This paper cites Structural analogy from a single image pair.Computer Graphics Forum, 40(1):249–265, 2021.

Efficient and Training-Free Single-Image Diffusion Models Structural analogy from a single image pair.Computer Graphics Forum, 40(1):249–265, 2021

Reference 4

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Observation c6f1af83-1202-4a2d-b5f9-ffeb5f6ce87c · outbound

This paper cites On the closed-form of flow matching: Gen- eralization does not arise from target stochasticity.

Efficient and Training-Free Single-Image Diffusion Models On the closed-form of flow matching: Gen- eralization does not arise from target stochasticity

Reference 5

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Observation 216e293e-f1b6-470e-b738-05f375876341 · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis.

Efficient and Training-Free Single-Image Diffusion Models Large scale GAN training for high fidelity natural image synthesis

Reference 6

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Observation 3e972e8f-9cac-451c-978e-5ce21935009d · outbound

This paper cites A non-local algorithm for image denoising.

Efficient and Training-Free Single-Image Diffusion Models A non-local algorithm for image denoising

Reference 7

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Observation 867b4835-c909-4726-b02d-e25b346b3e31 · outbound

This paper cites On the edge of memorization in diffusion models.

Efficient and Training-Free Single-Image Diffusion Models On the edge of memorization in diffusion models

Reference 8

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Observation 877b2799-124a-444f-96cf-37d7d7a866f7 · outbound

This paper cites A multiresolution spline with application to image mosaics.ACM Trans.

Efficient and Training-Free Single-Image Diffusion Models A multiresolution spline with application to image mosaics.ACM Trans

Reference 9

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Observation 896e2b72-600d-46f6-8b32-2da8eb3654f3 · outbound

This paper cites NIFTY: a non-local image flow matching for texture syn- thesis.arXiv preprint arXiv:2509.22318, 2025.

Efficient and Training-Free Single-Image Diffusion Models NIFTY: a non-local image flow matching for texture syn- thesis.arXiv preprint arXiv:2509.22318, 2025

Reference 10

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Observation 2d6a1443-32f3-43b8-8969-07465a5dc8e1 · outbound

This paper cites Diffusion pos- terior sampling for general noisy inverse problems.

Efficient and Training-Free Single-Image Diffusion Models Diffusion pos- terior sampling for general noisy inverse problems

Reference 11

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Observation 1aa2c83d-7eae-4ad3-ae7b-bd5bfea008a1 · outbound

This paper cites Image denoising by sparse 3-D transform- domain collaborative filtering.IEEE Trans.

Efficient and Training-Free Single-Image Diffusion Models Image denoising by sparse 3-D transform- domain collaborative filtering.IEEE Trans

Reference 12

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Observation 4720c3a3-5e3b-4175-a4bf-7aa87e13ddc7 · outbound

This paper cites FlashAttention-2: Faster attention with better par- allelism and work partitioning.

Efficient and Training-Free Single-Image Diffusion Models FlashAttention-2: Faster attention with better par- allelism and work partitioning

Reference 13

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Observation de882bb3-ef4d-44dd-98e4-a46346e35989 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R´e.

Efficient and Training-Free Single-Image Diffusion Models Fu, Stefano Ermon, Atri Rudra, and Christopher R´e

Reference 14

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Observation d0daac05-9542-41a6-9555-8f28dae3d3a4 · outbound

This paper cites Diffusion models beat GANs on image synthesis.

Efficient and Training-Free Single-Image Diffusion Models Diffusion models beat GANs on image synthesis

Reference 15

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Observation 988260ed-c664-413d-a394-2028dab222ae · outbound

This paper cites Diffusion is spectral autoregression.

Efficient and Training-Free Single-Image Diffusion Models Diffusion is spectral autoregression

Reference 16

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Observation 21165eba-b518-4b1f-8ba9-2abd8dd03d6d · outbound

This paper cites The Faiss library.

Efficient and Training-Free Single-Image Diffusion Models The Faiss library

Reference 17

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Observation dc2f7e52-4e64-475a-a0a6-752cbe89bd62 · outbound

This paper cites Image quilting for texture synthesis and transfer.

Efficient and Training-Free Single-Image Diffusion Models Image quilting for texture synthesis and transfer

Reference 18

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Observation 476afd6e-3335-4aeb-914c-de11da1e12ad · outbound

This paper cites Texture synthesis by non-parametric sampling.

Efficient and Training-Free Single-Image Diffusion Models Texture synthesis by non-parametric sampling

Reference 19

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Observation 8a0cf069-fbe0-4077-bb85-fd4211f3528a · outbound

This paper cites Image denoising via sparse and redundant representations over learned dictionar- ies.IEEE Trans.

Efficient and Training-Free Single-Image Diffusion Models Image denoising via sparse and redundant representations over learned dictionar- ies.IEEE Trans

Reference 20

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Observation b0f36cbc-2a19-4472-afa6-b60968479b70 · outbound

This paper cites Generating natural images with direct patch distributions matching.

Efficient and Training-Free Single-Image Diffusion Models Generating natural images with direct patch distributions matching

Reference 21

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Observation 892e0882-c137-4ba7-856e-f4b90867b402 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Efficient and Training-Free Single-Image Diffusion Models Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 22

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Observation 54f03be4-121c-4e37-a44b-6592474c2a78 · outbound

This paper cites Super- resolution from a single image.

Efficient and Training-Free Single-Image Diffusion Models Super- resolution from a single image

Reference 23

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Observation 1a463fed-76df-436b-a85c-3ca19fc3490c · outbound

This paper cites Generative adversarial networks.Commun.

Efficient and Training-Free Single-Image Diffusion Models Generative adversarial networks.Commun

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This paper cites Introducing Nano Banana Pro (Gemini 3 Pro Image).https://blog.google/innovation- and-ai/products/nano-banana-pro/, 2025.

Efficient and Training-Free Single-Image Diffusion Models Introducing Nano Banana Pro (Gemini 3 Pro Image).https://blog.google/innovation- and-ai/products/nano-banana-pro/, 2025

Reference 25

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Observation af17732a-a38c-4cc3-9f92-0ac849a60aca · outbound

This paper cites Drop the GAN: In defense of patches near- est neighbors as single image generative models.

Efficient and Training-Free Single-Image Diffusion Models Drop the GAN: In defense of patches near- est neighbors as single image generative models

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Observation bdfbc63a-7448-4ecc-9699-3a98b618dba9 · outbound

This paper cites Image analogies.

Efficient and Training-Free Single-Image Diffusion Models Image analogies

Reference 27

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Observation 1fdbb022-3aab-4b91-baea-28c52baa8978 · outbound

This paper cites Improved techniques for training single-image GANs.

Efficient and Training-Free Single-Image Diffusion Models Improved techniques for training single-image GANs

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Observation ae4bfd2b-55c2-4723-a085-f56a72d64d6d · outbound

This paper cites Denoising dif- fusion probabilistic models.

Efficient and Training-Free Single-Image Diffusion Models Denoising dif- fusion probabilistic models

Reference 29

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Observation 87cd15d7-f278-4102-8bf5-d706a213ad0d · outbound

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Efficient and Training-Free Single-Image Diffusion Models Blurring diffusion models

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Observation 37be514f-627b-438c-acda-4c3418d83d28 · outbound

This paper cites Estimation of non- normalized statistical models by score matching.J.

Efficient and Training-Free Single-Image Diffusion Models Estimation of non- normalized statistical models by score matching.J

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Observation 9fe0489f-5e8c-4265-9e5c-82bf5ddaad9e · outbound

This paper cites Approximate nearest neighbors: Towards removing the curse of dimensionality.

Efficient and Training-Free Single-Image Diffusion Models Approximate nearest neighbors: Towards removing the curse of dimensionality

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Observation 52787ec8-5d7f-41bd-81e6-d6b9f62b8fc2 · outbound

This paper cites Billion- scale similarity search with GPUs.IEEE Trans.

Efficient and Training-Free Single-Image Diffusion Models Billion- scale similarity search with GPUs.IEEE Trans

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Observation 8985f628-f318-4957-91bb-f72608880055 · outbound

This paper cites Frey, and Anitha Kannan.

Efficient and Training-Free Single-Image Diffusion Models Frey, and Anitha Kannan

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Observation 6e16825f-feff-4712-a3b4-7fb4d3923efc · outbound

This paper cites An analytic theory of cre- ativity in convolutional diffusion models.

Efficient and Training-Free Single-Image Diffusion Models An analytic theory of cre- ativity in convolutional diffusion models

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Observation 81b86531-b779-46cd-b356-6f7b6797e044 · outbound

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

Efficient and Training-Free Single-Image Diffusion Models Elucidating the design space of diffusion-based generative models

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Observation 303114e0-1aaf-4c32-9a80-4335ff828992 · outbound

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Efficient and Training-Free Single-Image Diffusion Models MUSIQ: Multi-scale image quality transformer

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Observation ed84fee3-b16c-40e6-bfe6-44b6394118b1 · outbound

This paper cites SinDDM: A single image denoising diffusion model.

Efficient and Training-Free Single-Image Diffusion Models SinDDM: A single image denoising diffusion model

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Observation c15d918e-a181-4086-a524-1b8a216dad35 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Efficient and Training-Free Single-Image Diffusion Models FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

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Observation f52ee086-b7bd-4b1d-a155-245b129d9634 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Flow matching for generative modeling

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Observation dde0682f-8eb5-4e2a-bf1d-e700390f2cd7 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Locality in image diffusion models emerges from data statistics

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:5cbea5218c620b63a7ad5f6cc85c57127812c79913d4983ad9ef3e07d2db3927

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Efficient and Training-Free Single-Image Diffusion Models Tiled diffusion

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:86c30a3f85262315dc44fd2317484b14ad8717b56bff4451789499dce5f43165

Observation 0c06d2d1-e7f5-4ac7-af3f-83dd69d8e2eb · outbound

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Efficient and Training-Free Single-Image Diffusion Models Non-local sparse models for image restoration

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:0a1cf94902ff926383754398f5638096f58e506e875e699290a21ae5ae395cba

Observation 0f1094f7-327a-457e-a47a-eae7fe3063c6 · outbound

This paper cites Sym- metrization.ACM Trans.

Efficient and Training-Free Single-Image Diffusion Models Sym- metrization.ACM Trans

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Observation 844cb0a9-e1b7-4ce8-8ce6-e18f7fafc10f · outbound

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Efficient and Training-Free Single-Image Diffusion Models completely blind

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Observation cd8a60a1-0e07-4f80-8485-031b5cb0885c · outbound

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Efficient and Training-Free Single-Image Diffusion Models Spectral normalization for generative ad- versarial networks

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Observation f82a1077-e981-4db2-af49-1ebd9833ebce · outbound

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Efficient and Training-Free Single-Image Diffusion Models Null-text inversion for editing real images using guided diffusion models

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Observation e9ea1add-56cf-45da-8a32-2e8ed7c10290 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Scale space diffusion

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:1b9ed4c71e8fed126a31018e16f00beb96ba8142c02fb87024e449e564aa5004

Observation fc499bc6-c692-4618-9bbe-3064e89b4407 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Towards a mechanistic explana- tion of diffusion model generalization

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:c8a5b26e1be424eb9733ce9cb6ac1f969e3ac52873c54d647db92b8ea211f265

Observation 7f4fee34-a1b3-4a93-8ea4-e36a5932b596 · outbound

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Efficient and Training-Free Single-Image Diffusion Models SinFusion: Training diffusion models on a single image or video

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:57c9ae083e3fa34f3cf43bc49312adac170be816dbdbec961bd98d3fdbe5d9ca

Observation ec209481-b407-4529-8aff-17b5d16a533d · outbound

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Efficient and Training-Free Single-Image Diffusion Models Multi-scale patch-based image restoration.IEEE Trans

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Observation b8605e5b-1a16-4181-abfa-9ae09bc2dbea · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Efficient and Training-Free Single-Image Diffusion Models Learn- ing transferable visual models from natural language super- vision

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Observation 3300f27c-6491-4987-b85d-2dd25e5d70ca · outbound

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Efficient and Training-Free Single-Image Diffusion Models Gener- ating diverse high-fidelity images with VQ-V AE-2

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Observation e2ea95ea-41fa-425e-b518-865eabbbe148 · outbound

This paper cites Gener- ative modelling with inverse heat dissipation.

Efficient and Training-Free Single-Image Diffusion Models Gener- ative modelling with inverse heat dissipation

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:fbf7a9292cddebddd69a55b4ac35b44d34496b89644f41c2e82aad829e0d1b0a

Observation 5aa5d071-8fd7-4660-849b-fc624e2cf832 · outbound

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Efficient and Training-Free Single-Image Diffusion Models High-resolution image syn- thesis with latent diffusion models

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Observation a5569573-3a3a-496e-85e9-934de6c9d2d3 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Closed-form diffusion models.Trans

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Observation 06f15149-6a91-4e80-8255-14e3d9fa17c3 · outbound

This paper cites Flashattention-3: Fast and ac- curate attention with asynchrony and low-precision.

Efficient and Training-Free Single-Image Diffusion Models Flashattention-3: Fast and ac- curate attention with asynchrony and low-precision

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Observation bb0813b2-add0-4361-9937-f65bddbe02ea · outbound

This paper cites Sin- GAN: Learning a generative model from a single natural im- age.

Efficient and Training-Free Single-Image Diffusion Models Sin- GAN: Learning a generative model from a single natural im- age

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:ab5261e5a2268d3d9aa7f22b35928ed4b7acd2eb30b0c5b3f3f752409cae69b8

Observation 860de257-d348-4570-9138-43f18f946e4d · outbound

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Efficient and Training-Free Single-Image Diffusion Models Zero- shot super-resolution using deep internal learning

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:4b2b54d4048c1a821a9c5f42454e55d1a387fda7fa51649082a390582ba4b47c

Observation 47dc96f4-a5f1-4d68-a8ae-d69bc8e1a1e6 · outbound

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Efficient and Training-Free Single-Image Diffusion Models InGAN: Capturing and remapping the “DNA” of a natural image

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:3864ef29cb19a08b8a9bbc1f140cccb548e9f7db2e65161f4f1e02e4aea001a1

Observation ba2116b5-a20a-45ca-b6fb-26483dfd51ac · outbound

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Efficient and Training-Free Single-Image Diffusion Models Video Google: A text retrieval ap- proach to object matching in videos

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Observation 504ebdcd-79c9-46ff-9b7a-eae550a37014 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics

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Observation d3289a2a-0913-4bab-b0ce-e2910dac29f4 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Denois- ing diffusion implicit models

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Observation 4839e4fa-b9e3-410b-9854-c0d02bf45123 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Selective underfitting in diffusion models

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Observation 74a46f7a-a2de-4a05-aead-793041381a4f · outbound

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Efficient and Training-Free Single-Image Diffusion Models Generative modeling by es- timating gradients of the data distribution

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Observation 2164e456-ad44-40f3-9766-454dfc646bba · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

Efficient and Training-Free Single-Image Diffusion Models Score-based generative modeling through stochastic differential equa- tions

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source=pdf_text observed=2026-06-28T07:31:41.982434Z digest=sha256:0d7c5b0887a233286ee07ce4dd718090acb95bd263e7a94d36fa909ff8163bd4

Observation 442c04e2-4a57-4b54-956a-868bb6c8c3e6 · outbound

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Efficient and Training-Free Single-Image Diffusion Models NIMA: Neural image assessment.IEEE Trans

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Efficient and Training-Free Single-Image Diffusion Models Attention is all you need

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Observation 67a91de4-857a-41e6-87b6-b74e6e1b6ac3 · outbound

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Observation 483c1a06-116d-4665-bcf4-403f3cff8512 · outbound

This paper cites SinDiffu- sion: Learning a diffusion model from a single natural im- age.IEEE Trans.

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Observation 3a6ec742-13fe-4ddc-92b1-b2ba804ff1ca · outbound

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Efficient and Training-Free Single-Image Diffusion Models Texture synthesis over arbitrary manifold surfaces

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Observation 09f9abac-6bcc-40e8-835b-11301ab520a9 · outbound

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Observation eeb182a0-57e3-4c1d-8e47-02d5bcba10e1 · outbound

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Observation 9bbb6b4a-eb74-4659-abf6-59d03f853c29 · outbound

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Efficient and Training-Free Single-Image Diffusion Models From learning models of natu- ral image patches to whole image restoration

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Observation f786aab9-b310-488a-9355-3be30ac60914 · outbound

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Efficient and Training-Free Single-Image Diffusion Models Connections to Prior Single-Image Generative Methods

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Observation 47131d8c-b1dd-4bfb-86ce-e4abbc98c8aa · outbound

This paper cites x(i) t 1 # ,k (j) =.

Efficient and Training-Free Single-Image Diffusion Models x(i) t 1 # ,k (j) =

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Observation 7071785b-1698-4434-b497-cbe70a3f972f · outbound

This paper cites an unresolved cited work.

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Efficient and Training-Free Single-Image Diffusion Models circshift

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Observation 5425916b-5111-4c2d-aee2-89cbdccfa50e · outbound

This paper cites Van Gogh.

Efficient and Training-Free Single-Image Diffusion Models Van Gogh

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