Paper Citation Record · LEDGER

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2502.02215.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02215 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:02:37.623381Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:53:45.915100Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T11:40:19.063884Z

Reference resolution

43 of 43 outbound references displayed

verified exact3
verified fuzzy18
unresolved22
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 318fa891-e923-4350-8139-506f12154901 · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27,.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Generative adversarial nets.Advances in neural information processing systems, 27,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.296050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08240155-6cb5-4abe-9c48-406d7ec3bfce · outbound

This paper cites an unresolved cited work.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:02:38.126359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fbf3c6d-d604-4a88-ba58-0cc33f65bc67 · outbound

This paper cites ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.466472Z

Source-reported events for the cited work

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Observation 73da64ef-2c91-4497-9198-4acd1a39c9cd · outbound

This paper cites FaceScore: Benchmarking and Enhancing Face Quality in Human Generation.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration FaceScore: Benchmarking and Enhancing Face Quality in Human Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.471213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97c1536-6369-433b-a100-3da3eeea8903 · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.480667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0edc0d6-183b-4ed8-ada9-a466acd7b8f8 · outbound

This paper cites I$^2$SB: Image-to-Image Schr\"odinger Bridge.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration I$^2$SB: Image-to-Image Schr\"odinger Bridge

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.485078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dac81c1-8e4c-4e80-96b1-f38c6e13e266 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.488975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb510f05-d4ae-4f41-b2db-e7983b2a41ab · outbound

This paper cites WaveFace: Authentic Face Restoration with Efficient Frequency Recovery.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration WaveFace: Authentic Face Restoration with Efficient Frequency Recovery

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:02:37.791193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c46bfa33-803d-4f3f-a489-07f204d93b8f · outbound

This paper cites SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:02:37.768366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a319aaa-587e-433b-b1f9-d914c7d02abb · outbound

This paper cites Learning transferable visual models from natural language supervision.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Learning transferable visual models from natural language supervision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.270734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 716999ee-3095-420f-b26f-43760655ef8d · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.506367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e66f114-e0e6-429e-8398-74d097f6b221 · outbound

This paper cites U-net: Convolutional networks for biomed- ical image segmentation.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration U-net: Convolutional networks for biomed- ical image segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.257683Z

Source-reported events for the cited work

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Observation 927de1ae-70ad-446a-a664-9291aa4b4f26 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Progressive Distillation for Fast Sampling of Diffusion Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.516480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a1567c-e55e-49a0-a9a7-ee87c164c2f7 · outbound

This paper cites Adversarial Diffusion Distillation.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Adversarial Diffusion Distillation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.521656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84872601-3416-4d2c-ae7d-9e9516584583 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.526527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64842524-7543-4013-9805-e61694f900c5 · outbound

This paper cites Consistency Models.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Consistency Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.531595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29fc053-49b3-42c1-aad5-dbe1314f88c2 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Image quality assessment: from error visibility to structural similarity

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.243831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3ff0639-ce3a-4f5f-bd5f-f6f263e5c5c6 · outbound

This paper cites ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.541570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6e7691-e9fc-42e2-9479-cd95f0bf3006 · outbound

This paper cites Chan, Chongyi Li, and Chen Change Loy.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Chan, Chongyi Li, and Chen Change Loy

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.230727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffad08d1-d959-47c7-8ac0-10421ed12af9 · outbound

This paper cites Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.551540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a538a85a-3368-411a-9641-51775e8d53b8 · outbound

This paper cites The Spatial Encoder is partially initialized using UNet encoder from the pre-trained Stable Diffusion 1.5, following the approach in (Zhang et al., 2023).

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration The Spatial Encoder is partially initialized using UNet encoder from the pre-trained Stable Diffusion 1.5, following the approach in (Zhang et al., 2023)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.216818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0412075c-c6fe-432a-bf0e-842db790fe3b · outbound

This paper cites The proposed method is implemented in Pytorch (Paszke et al., 2017).

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration The proposed method is implemented in Pytorch (Paszke et al., 2017)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.202652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6bd008e2-1a09-4d07-9e69-1aa254c33b43 · outbound

This paper cites an unresolved cited work.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:02:38.156986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce7e25d4-61fb-4d78-af74-5e5936f28580 · outbound

This paper cites an unresolved cited work.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:02:38.141630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba388406-e514-4576-97e5-4e9d21f77a6d · outbound

This paper cites By the quantitative comparison in Tab.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration By the quantitative comparison in Tab

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.110451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ee984400-be5d-4fd2-8823-5fa861f9c50c · outbound

This paper cites E.3 A DDITIONAL RESULTS WITH TATTOOS OR FESTIVAL -STYLE FACE PAINT As shown in Fig.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration E.3 A DDITIONAL RESULTS WITH TATTOOS OR FESTIVAL -STYLE FACE PAINT As shown in Fig

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.080484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a14d2422-945a-432f-949d-33e097362bf3 · outbound

This paper cites E.6 A PPLYING PERCEPTUAL LOSS IN DIFFUSION -BASED MODELS Several existing works (Chung et al., 2023; Laroche et al.,.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration E.6 A PPLYING PERCEPTUAL LOSS IN DIFFUSION -BASED MODELS Several existing works (Chung et al., 2023; Laroche et al.,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.049593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 60bc5508-6b64-428c-a762-a2bb3d278c96 · outbound

This paper cites an unresolved cited work.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:02:38.034166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50132c9a-72fb-46f0-92ba-d1d875c73479 · outbound

This paper cites Our approach uses x0 at the final of the inference steps of the latent consistency model.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Our approach uses x0 at the final of the inference steps of the latent consistency model

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.020017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e06c2761-9b89-4555-87dc-ce3db7daa62a · outbound

This paper cites (5): ˆx0 = 1√¯αt (xt − √ 1 − ¯αtϵ).

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration (5): ˆx0 = 1√¯αt (xt − √ 1 − ¯αtϵ)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.004945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e289b3f5-4678-4f4b-b762-bc344e05bca3 · outbound

This paper cites 24, our method can reconstruct more realistic details in forehead wrinkles (first and second rows), eyes and eyebrows (third and fourth rows), and hair (fifth and sixth rows).

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration 24, our method can reconstruct more realistic details in forehead wrinkles (first and second rows), eyes and eyebrows (third and fourth rows), and hair (fifth and sixth rows)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:37.990512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0128d6e-16c3-45b6-bafe-0ca86255de0a · outbound

This paper cites an unresolved cited work.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:02:37.974327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20f157ed-c562-470c-8038-5cf91ed9c03a · outbound

This paper cites Intuitively, we regard the LQ image as an intermediate result of SD sampling, especially at small noise levels (see Fig.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Intuitively, we regard the LQ image as an intermediate result of SD sampling, especially at small noise levels (see Fig

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.094704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c062072d-cd06-4d43-bbfe-24c68161c3f2 · outbound

This paper cites The convolution operation is denoted by ∗, followed by JPEG compression with a quality factor of q ∈ {30 : 90 }.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration The convolution operation is denoted by ∗, followed by JPEG compression with a quality factor of q ∈ {30 : 90 }

Reference 512

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.172151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14933485-f647-4d95-85e9-2c9e78f7b69d · outbound

This paper cites BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping

Reference 2014

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:02:37.928966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 244f5ab4-87f4-4763-9a12-d03d39dcb6a6 · outbound

This paper cites The models are trained for 15K iterations using eight A40 GPUs (48GB VRAM).

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration The models are trained for 15K iterations using eight A40 GPUs (48GB VRAM)

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.187664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 032f0b96-75e6-434e-87d0-f54eea3c31a6 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.461819Z

Source-reported events for the cited work

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Observation 8766c37f-4a7b-4828-a6d5-13ad5bc90c1c · outbound

This paper cites 19 (the first and second rows), where the festival-style face paints and rich-color hair appear multiple times during training.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration 19 (the first and second rows), where the festival-style face paints and rich-color hair appear multiple times during training

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.066551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69fb2984-05b7-4e47-abc3-89babf1a7926 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Imagen Video: High Definition Video Generation with Diffusion Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.452230Z

Source-reported events for the cited work

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Observation 6d22a738-06fd-44b6-b9cc-59795484cb03 · outbound

This paper cites StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.435884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec3fe74-543b-4303-9199-2deb9f2a1f47 · outbound

This paper cites Face super-resolution guided by 3d facial priors.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Face super-resolution guided by 3d facial priors

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:02:38.283458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be5862c4-a9b4-4e65-b094-0ca79e786847 · outbound

This paper cites VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.429979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d37a878-101f-4ab7-986e-f69f0a587f41 · outbound

This paper cites Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T13:02:37.476168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e26aede3-6a83-47cb-9810-ae053c6633af · inbound

Persistent Free Volume Governs (Anti)plasticization in Chitosan-Water Mixtures cites this paper.

Persistent Free Volume Governs (Anti)plasticization in Chitosan-Water Mixtures InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T20:13:01.812401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a0943c-1883-4bc4-b9d2-038d726b9f3d · inbound

DVFace: Spatio-Temporal Dual-Prior Diffusion for Video Face Restoration cites this paper.

DVFace: Spatio-Temporal Dual-Prior Diffusion for Video Face Restoration InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:19.066080Z

Source-reported events for the cited work

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Observation dd516471-2cb3-4b3e-834d-1e093f55a249 · inbound

A Step Forward Towards Trustworthy Risk-Aware Facial Retrieval (RA-FR) cites this paper.

A Step Forward Towards Trustworthy Risk-Aware Facial Retrieval (RA-FR) InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T07:53:45.915100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.