Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training | Paper Citation Record

Observation 737033ab-9e9b-4e8f-8926-1ce34375aba5 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation 8f06db94-6fe3-4ccd-a27d-4c301ab6c9f9 · outbound

This paper cites DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

Reference 2

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This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Toward real-world single image super-resolution: A new benchmark and a new model

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This paper cites Adversarial Diffusion Compression for Real-World Image Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Adversarial Diffusion Compression for Real-World Image Super-Resolution

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This paper cites Real-world blind super-resolution via feature matching with implicit high- resolution priors.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Real-world blind super-resolution via feature matching with implicit high- resolution priors

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This paper cites Topiq: A top-down approach from semantics to distortions for image quality assessment.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Topiq: A top-down approach from semantics to distortions for image quality assessment

Reference 6

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This paper cites Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution

Reference 7

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This paper cites Toward gen- eralized image quality assessment: Relaxing the perfect ref- erence quality assumption.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Toward gen- eralized image quality assessment: Relaxing the perfect ref- erence quality assumption

Reference 8

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This paper cites Pre-trained image processing transformer.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Pre-trained image processing transformer

Reference 9

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This paper cites Scene text tele- scope: Text-focused scene image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Scene text tele- scope: Text-focused scene image super-resolution

Reference 10

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Observation dd7447c7-878a-4c0b-8bbf-849358560e89 · outbound

This paper cites Activating more pixels in image super- resolution transformer.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Activating more pixels in image super- resolution transformer

Reference 11

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This paper cites Dual aggregation transformer for image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Dual aggregation transformer for image super-resolution

Reference 12

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This paper cites Feedback network for mutually boosted stereo image super-resolution and disparity estimation.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Feedback network for mutually boosted stereo image super-resolution and disparity estimation

Reference 13

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Observation fb4caca7-91e0-493f-a9d0-7b67cca2282d · outbound

This paper cites Second-order attention network for single im- age super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Second-order attention network for single im- age super-resolution

Reference 14

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This paper cites Diffusion models beat gans on image synthesis.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Diffusion models beat gans on image synthesis

Reference 15

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This paper cites Image quality assessment: Unifying structure and texture similarity.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Image quality assessment: Unifying structure and texture similarity

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This paper cites Learning a deep convolutional network for image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Learning a deep convolutional network for image super-resolution

Reference 17

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 18

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This paper cites Generative adversarial nets.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Generative adversarial nets

Reference 19

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This paper cites Blind super-resolution with iterative kernel correction.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Blind super-resolution with iterative kernel correction

Reference 20

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This paper cites Deep residual learning for image recognition.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Deep residual learning for image recognition

Reference 21

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This paper cites Denoising dif- fusion probabilistic models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Denoising dif- fusion probabilistic models

Reference 22

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

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This paper cites Single image super-resolution from transformed self-exemplars.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Single image super-resolution from transformed self-exemplars

Reference 24

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This paper cites Percep- tual losses for real-time style transfer and super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Percep- tual losses for real-time style transfer and super-resolution

Reference 25

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This paper cites A style-based generator architecture for generative adversarial networks.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training A style-based generator architecture for generative adversarial networks

Reference 26

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This paper cites Snips: Solving noisy inverse problems stochastically.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Snips: Solving noisy inverse problems stochastically

Reference 27

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Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Denoising diffusion restoration models

Reference 28

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This paper cites Musiq: Multi-scale image quality transformer.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Musiq: Multi-scale image quality transformer

Reference 29

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This paper cites Classsr: A general framework to accelerate super- resolution networks by data characteristic.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Classsr: A general framework to accelerate super- resolution networks by data characteristic

Reference 30

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This paper cites Reflash dropout in image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Reflash dropout in image super-resolution

Reference 31

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This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 32

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Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Unresolved cited work

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This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 34

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Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Multi-scale residual network for image super-resolution

Reference 35

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This paper cites Lsdir: A large scale dataset for image restoration.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Lsdir: A large scale dataset for image restoration

Reference 36

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Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Swinir: Image restoration us- ing swin transformer

Reference 37

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This paper cites Details or artifacts: A locally discriminative learning approach to realistic im- age super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Details or artifacts: A locally discriminative learning approach to realistic im- age super-resolution

Reference 38

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This paper cites Efficient and degradation-adaptive network for real-world image super- resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Efficient and degradation-adaptive network for real-world image super- resolution

Reference 39

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This paper cites Ntire 2024 restore any im- age model (raim) in the wild challenge.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Ntire 2024 restore any im- age model (raim) in the wild challenge

Reference 40

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This paper cites Enhanced deep residual networks for single image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Enhanced deep residual networks for single image super-resolution

Reference 41

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 42

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This paper cites Decoupled Weight Decay Regularization.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Decoupled Weight Decay Regularization

Reference 43

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This paper cites A text atten- tion network for spatial deformation robust scene text im- age super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training A text atten- tion network for spatial deformation robust scene text im- age super-resolution

Reference 44

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Observation 42dfe09b-2aa0-4f79-8db8-8a9adf56a46a · outbound

This paper cites Text prior guided scene text image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Text prior guided scene text image super-resolution

Reference 45

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This paper cites A benchmark for chinese-english scene text im- age super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training A benchmark for chinese-english scene text im- age super-resolution

Reference 46

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Observation ab33d929-c4f2-4cbb-bb6e-18f3d2f9336b · outbound

This paper cites Codi: Conditional diffusion distillation for higher-fidelity and faster image generation.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Codi: Conditional diffusion distillation for higher-fidelity and faster image generation

Reference 47

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Observation 80bbfac3-aab9-472c-b225-7071a14a2ad8 · outbound

This paper cites The power of context: How multimodality improves image super- resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training The power of context: How multimodality improves image super- resolution

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:32.508830Z

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Observation 4f5e1ad8-d466-4465-bbd5-288a375ed9ba · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 49

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This paper cites Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

Reference 50

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This paper cites Towards Realistic Data Generation for Real-World Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Towards Realistic Data Generation for Real-World Super-Resolution

Reference 51

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This paper cites Xpsr: Cross-modal priors for diffusion-based image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Xpsr: Cross-modal priors for diffusion-based image super-resolution

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:32.257901Z

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This paper cites High-resolution image synthesis with latent diffusion models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training High-resolution image synthesis with latent diffusion models

Reference 53

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Observation af3b9fdb-d7cf-4183-bc29-be9d0add93e3 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Photorealistic text-to-image diffusion models with deep language understanding

Reference 54

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Observation d3c0a469-22b8-4b55-ab20-7ab23b723a16 · outbound

This paper cites Dcdm: Diffusion-conditioned-diffusion model for scene text image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Dcdm: Diffusion-conditioned-diffusion model for scene text image super-resolution

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:31.838317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3088a5f-56cc-4ff6-9ee7-8cf731c5a38b · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Score-Based Generative Modeling through Stochastic Differential Equations

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:24.939698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7219c84-77d9-4711-b579-772bdea09d90 · outbound

This paper cites an unresolved cited work.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:46:31.606347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8bb9dc8f-b2a6-461e-a131-cbafaa27e666 · outbound

This paper cites Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:25.064379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba122be0-3c0d-4a51-a68e-87f26200aee4 · outbound

This paper cites Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:25.124512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc8b02af-3e06-486e-b165-0f90eb9122b0 · outbound

This paper cites Perception-distortion balanced super- resolution: A multi-objective optimization perspective.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Perception-distortion balanced super- resolution: A multi-objective optimization perspective

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:31.419278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a7fcde04-364d-452e-8d40-fc8dc41fe7ec · outbound

This paper cites Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:25.275356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f28a3c46-4698-498c-aeff-64955d55f45e · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Ex- ploring clip for assessing the look and feel of images

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:31.119997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03f88d22-a571-4fd1-a94a-9c3280977a77 · outbound

This paper cites Exploiting Diffusion Prior for Real-World Image Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Exploiting Diffusion Prior for Real-World Image Super-Resolution

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:25.404752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78c7f19-3286-404b-83d4-b0b23362dba2 · outbound

This paper cites Scene text image super-resolution in the wild.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Scene text image super-resolution in the wild

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:30.914864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75665038-cd4c-4ac9-98f0-58b38f2c27f0 · outbound

This paper cites Esrgan: En- hanced super-resolution generative adversarial networks.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Esrgan: En- hanced super-resolution generative adversarial networks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:30.578922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03ce8b27-5ba2-4a47-ba75-8e7ad3d99fd0 · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:25.624200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edbab378-5baf-4865-8e89-b7ba22a869b3 · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:25.671536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0344c3bf-6c25-4d3b-ba1f-b10f95751f8c · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Image quality assessment: from error visibility to structural similarity

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:30.286354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2b7ad72-760b-4de0-8065-14fccdf4d89c · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Image quality assessment: from error visibility to structural similarity

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:30.032449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cddad6d7-2811-479b-8e9c-534b2f4edf55 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:25.885960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26af4618-9c36-4c86-9150-d712a48f3bfa · outbound

This paper cites Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:25.947963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d47e33-d648-41e6-b2d0-c7895336b5f9 · outbound

This paper cites Component divide- and-conquer for real-world image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Component divide- and-conquer for real-world image super-resolution

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:29.805650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9778550e-2c61-472d-8aaa-de0011f71b01 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.098903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19910bac-366a-4763-8624-5b4d3010dc12 · outbound

This paper cites SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.183220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f649fe1-610f-489b-a917-f219523d0f6e · outbound

This paper cites One-Step Effective Diffusion Network for Real-World Image Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.249982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a96761d-fae8-4c69-90a1-27da90537b56 · outbound

This paper cites InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.341031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d1f445-468d-4741-b54f-20dd21907288 · outbound

This paper cites DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.424256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5bab528-3cda-4676-b805-dacf68f424be · outbound

This paper cites Desra: Detect and delete the artifacts of gan-based real-world super-resolution models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Desra: Detect and delete the artifacts of gan-based real-world super-resolution models

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:29.607182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db1a6856-51b1-43db-8221-6dc1b0b9230f · outbound

This paper cites Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.590209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b31e3716-4d08-45c1-967b-fbf674af1ee0 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training One-step diffusion with distribution matching distillation

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:29.361960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a36d1bc6-2f62-4859-ab52-985b6e26a76a · outbound

This paper cites Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.723513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464d4bc8-b114-4413-a527-e78cca84c5db · outbound

This paper cites ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.797618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fd84a0-c80d-465c-a972-bdfddbb76647 · outbound

This paper cites Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:26.868493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ff3107-db55-4bd1-8ae3-a9aa5b736537 · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Designing a practical degradation model for deep blind image super-resolution

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:29.092988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c118d060-c27a-4cf7-8ea0-2b813369680c · outbound

This paper cites Fsim: A feature similarity index for image quality assess- ment.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Fsim: A feature similarity index for image quality assess- ment

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:28.777431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fc1a9b3a-9a0e-49bf-bc7c-0ac7a81af475 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Adding conditional control to text-to-image diffusion models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:27.097912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1e6438-b620-42c7-81c9-fef0c3589ab3 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training The unreasonable effectiveness of deep features as a perceptual metric

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:27.124985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 037398a0-5e58-4a69-8f1b-94fb133a716f · outbound

This paper cites Efficient long-range attention network for image super- resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Efficient long-range attention network for image super- resolution

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:28.593728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a43ee52-06d2-472f-b0ac-69ae20c4f949 · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Image super-resolution using very deep residual channel attention networks

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:28.403055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a45b0e4-2592-4dbe-8bf5-1a1822676327 · outbound

This paper cites Residual dense network for image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Residual dense network for image super-resolution

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:28.238113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f234d769-0733-492d-ab01-d1d46a2ac300 · outbound

This paper cites Diffusion-based blind text image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Diffusion-based blind text image super-resolution

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:28.030652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reference resolution

Outbound references

Pith citing papers