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Paper Citation Record · LEDGER

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal

As of 13 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2608.06939.

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2608.06939 v2

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measured 81 of 81 reference resolution

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measured 0 of 0 inbound itemization

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81 of 81 outbound references displayed

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Outbound references

Observation f1e0f01b-7ac1-43de-ad94-4c52e304a207 · outbound

This paper cites Attentive generative adversarial network for raindrop removal from a single image,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Attentive generative adversarial network for raindrop removal from a single image,

Reference 1

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Observation b947084a-3870-404c-bda2-d42fdb8c54c7 · outbound

This paper cites Dcsfn: Deep cross-scale fusion network for single image rain removal,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Dcsfn: Deep cross-scale fusion network for single image rain removal,

Reference 2

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Observation 60dcc716-9829-46b3-b569-932b86a1f815 · outbound

This paper cites Joint self-attention and scale- aggregation for self-calibrated deraining network,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Joint self-attention and scale- aggregation for self-calibrated deraining network,

Reference 3

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Observation dd5f9a8e-8d15-4125-87cc-857142c4aa9b · outbound

This paper cites Online-updated high-order collaborative networks for single image deraining,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Online-updated high-order collaborative networks for single image deraining,

Reference 4

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Observation 21435d26-889d-428f-a319-d90b95e0d026 · outbound

This paper cites Learning A sparse transformer network for effective image deraining,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Learning A sparse transformer network for effective image deraining,

Reference 5

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Observation 522ae911-397a-4d93-8282-d702c9e69399 · outbound

This paper cites Explore internal and external similarity for single image deraining with graph neural networks,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Explore internal and external similarity for single image deraining with graph neural networks,

Reference 6

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Observation 1a9189dc-8b6a-4cde-a1b0-ef42a84df622 · outbound

This paper cites Progressive local and non-local interactive networks with deeply discriminative training for image deraining,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Progressive local and non-local interactive networks with deeply discriminative training for image deraining,

Reference 7

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Observation a0de4b91-b76a-45c9-9436-837c32c97400 · outbound

This paper cites Intra and inter parser- prompted transformers for effective image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Intra and inter parser- prompted transformers for effective image restoration,

Reference 8

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Observation c7cbc2db-1e86-4a33-a188-a5b08f1ca5f0 · outbound

This paper cites Gated fusion network for single image dehazing,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Gated fusion network for single image dehazing,

Reference 9

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Observation e5715c40-7ab4-4fdd-894b-c479a8f1d526 · outbound

This paper cites Selfpromer: Self-prompt dehazing transformers with depth-consistency,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Selfpromer: Self-prompt dehazing transformers with depth-consistency,

Reference 10

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Observation 447767b8-542d-4e74-b2df-07e80e183d99 · outbound

This paper cites Correlation matching transformation transformers for UHD image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Correlation matching transformation transformers for UHD image restoration,

Reference 11

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Observation 1aea2336-fd9b-4b92-b10e-6c7566b8f147 · outbound

This paper cites Neural discrimination-prompted transformers for efficient uhd image restoration and enhancement,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Neural discrimination-prompted transformers for efficient uhd image restoration and enhancement,

Reference 12

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Observation 372a8cbd-5ca0-442a-8f20-8ea943997931 · outbound

This paper cites Online rain/snow removal from surveillance videos,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Online rain/snow removal from surveillance videos,

Reference 13

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Observation a8c821f2-a5c6-40b6-bdf6-cac608a9b4be · outbound

This paper cites Deep dense multi-scale network for snow removal using semantic and depth priors,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Deep dense multi-scale network for snow removal using semantic and depth priors,

Reference 14

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Observation 8bae40fa-8604-4c83-8bc7-4333affc452d · outbound

This paper cites All-in-one image restoration for unknown corruption,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal All-in-one image restoration for unknown corruption,

Reference 15

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Observation d4ea5ce5-726b-4e85-907b-356be6071ea7 · outbound

This paper cites All in one bad weather removal using architectural search,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal All in one bad weather removal using architectural search,

Reference 16

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Observation d951106e-1fa7-4063-ab09-2908f66a6b2a · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Restormer: Efficient transformer for high-resolution image restoration,

Reference 17

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Observation 947006a0-79e9-4e1c-a27e-ce10b9d5a31f · outbound

This paper cites Learning a low-level vision generalist via visual task prompt,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Learning a low-level vision generalist via visual task prompt,

Reference 18

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Observation 1e12f941-414a-41bc-a542-49680192e156 · outbound

This paper cites All-in-one weather-degraded image restoration via adaptive degradation-aware self- prompting model,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal All-in-one weather-degraded image restoration via adaptive degradation-aware self- prompting model,

Reference 19

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Observation 9f1819df-8bda-4cd6-b5f8-851e832b1eba · outbound

This paper cites Promptrestorer: A prompting image restoration method with degrada- tion perception,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Promptrestorer: A prompting image restoration method with degrada- tion perception,

Reference 20

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Observation f848cada-6bf6-4064-a5f1-78896c2769de · outbound

This paper cites Promptir: Prompting for all-in-one image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Promptir: Prompting for all-in-one image restoration,

Reference 21

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Observation 27a7cd1b-27e1-4cd1-89ab-b351f825d291 · outbound

This paper cites Adverse weather removal with codebook priors,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Adverse weather removal with codebook priors,

Reference 22

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Observation fa07c476-ad7c-48df-8f0b-ec58043d6179 · outbound

This paper cites Instructir: High-quality image restoration following human instructions,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Instructir: High-quality image restoration following human instructions,

Reference 23

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Observation 8b76b36d-b7ec-4613-976c-5c6dbafe8a32 · outbound

This paper cites Controlling vision-language models for multi-task image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Controlling vision-language models for multi-task image restoration,

Reference 24

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Observation 26a99fa5-7bf3-4328-a62e-60a89ffc6433 · outbound

This paper cites Dreamclear: High-capacity real-world image restoration with privacy- safe dataset curation,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Dreamclear: High-capacity real-world image restoration with privacy- safe dataset curation,

Reference 25

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Observation 2514b34b-5dbd-4fce-aee3-85c1eeaeca35 · outbound

This paper cites Multimodal prompt perceiver: Empower adaptiveness, generalizability and fidelity for all-in- one image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Multimodal prompt perceiver: Empower adaptiveness, generalizability and fidelity for all-in- one image restoration,

Reference 26

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Observation c352b8f0-3fdb-49d2-9c85-a5c256e9d456 · outbound

This paper cites Language-driven all-in-one adverse weather removal,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Language-driven all-in-one adverse weather removal,

Reference 27

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Observation 9de03f8a-8522-4a89-89fa-a7efe52e02f4 · outbound

This paper cites Transweather: Transformer-based restoration of images degraded by adverse weather conditions,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Transweather: Transformer-based restoration of images degraded by adverse weather conditions,

Reference 28

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Observation 572ef601-1df1-4d98-8ae2-aa50e18ca56a · outbound

This paper cites Frequency-oriented efficient transformer for all-in-one weather-degraded image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Frequency-oriented efficient transformer for all-in-one weather-degraded image restoration,

Reference 29

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This paper cites Adair: Adaptive all-in-one image restoration via frequency mining and modulation,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Adair: Adaptive all-in-one image restoration via frequency mining and modulation,

Reference 30

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This paper cites Restoring images in adverse weather conditions via histogram transformer,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Restoring images in adverse weather conditions via histogram transformer,

Reference 31

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Observation 9764f1a6-57db-491b-b8e4-6a3ad87d8947 · outbound

This paper cites Moerl: When mixture-of-experts meet reinforcement learning for adverse weather image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Moerl: When mixture-of-experts meet reinforcement learning for adverse weather image restoration,

Reference 32

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Bert: Pre-training of deep bidirectional transformers for language understanding,

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Observation 2b2e817d-e7be-400f-a0f9-c2ba11099598 · outbound

This paper cites Improving language understanding by generative pre-training,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Improving language understanding by generative pre-training,

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Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal The Llama 3 Herd of Models

Reference 35

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Observation 82bd6d50-ae3f-433e-896b-3f1cf7022977 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Learning transferable visual models from natural language supervi- sion,

Reference 36

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Observation fc1f0f6f-5db3-4cd7-a5ab-2de4b32345e7 · outbound

This paper cites BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 37

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Observation 6a96bb55-2146-4da7-b411-2517939010da · outbound

This paper cites Deep visual-semantic alignments for generating image descriptions,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Deep visual-semantic alignments for generating image descriptions,

Reference 38

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Observation da55bdd0-6ab5-4db4-b1dd-a584786e2b74 · outbound

This paper cites A global visual information intervention model for medical visual question answering,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal A global visual information intervention model for medical visual question answering,

Reference 39

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source=pdf_text observed=2026-08-11T04:18:27.960951Z digest=sha256:058714240130f157c436b3871e8371fa6a3a7e5ff961f32e1ebb65f53d1e0408

Observation 64d98238-b230-45ed-9e95-00948979c5ef · outbound

This paper cites Improving image restoration through removing degradations in textual representations,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Improving image restoration through removing degradations in textual representations,

Reference 40

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source=pdf_text observed=2026-08-11T04:18:27.964098Z digest=sha256:d80dbe874914ec7b0234252ab3ac9aeca12286f737bd57a2ea9551dae9d9bac3

Observation 7ff2ed24-45f1-4944-b30a-e8e9616a52fe · outbound

This paper cites Visual prompting via image inpainting,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Visual prompting via image inpainting,

Reference 41

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source=pdf_text observed=2026-08-11T04:18:27.967966Z digest=sha256:45fceae6b0503f2d30995b02b7d9a083e9d712d8858730d58ca8b4a9aa6137d6

Observation dfc6bbf5-6ea1-4cb3-8ce2-fcb28aef127d · outbound

This paper cites Improving natural language processing tasks with human gaze-guided neural attention,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Improving natural language processing tasks with human gaze-guided neural attention,

Reference 42

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source=pdf_text observed=2026-08-11T04:18:27.971775Z digest=sha256:978457fdc7f61eb185144d5e343a6b92d8c8ef37eb6fc00aad75f8931172fc66

Observation 3ea6fc01-a769-403c-a395-eff226321412 · outbound

This paper cites Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 43

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source=pdf_text observed=2026-08-11T04:18:27.975881Z digest=sha256:5aba070641da658bcdc094aa4e86b9ec6acc6277b99da02273a12f4e9b138d60

Observation 90fa5fa4-2205-407f-82f2-3c8b8d283e2c · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 44

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source=pdf_text observed=2026-08-11T04:18:27.979829Z digest=sha256:e122c5bfd7fe9be7f45800f93ef49b08bf97ed68f66ac967e4fad03f47f81ebb

Observation b856edf2-d24a-4a09-b66b-95568fdd3658 · outbound

This paper cites Visual prompt tuning,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Visual prompt tuning,

Reference 45

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source=pdf_text observed=2026-08-11T04:18:27.985047Z digest=sha256:1caaec7f8b71cc098347041ebce3bf68200917a39c2284186ec09de45820ee1d

Observation b9964a47-eaba-41c4-9ce6-f2627b9b902e · outbound

This paper cites Prompt-In-Prompt Learning for Universal Image Restoration.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Prompt-In-Prompt Learning for Universal Image Restoration

Reference 46

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source=pdf_text observed=2026-08-11T04:18:28.047670Z digest=sha256:fb6b99ce24bb07e66d7e674bd7e151ad229cab751c30a7a82e5603c4c571a122

Observation a155a8fa-dcc4-41c5-a65c-69d8b136776d · outbound

This paper cites Textual prompt guided image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Textual prompt guided image restoration,

Reference 47

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source=pdf_text observed=2026-08-11T04:18:28.100330Z digest=sha256:167887a3c53a90433e867ea66f32b137ae498149a5de503dea7e2a3324f116b5

Observation e60e96f2-cdba-4bcf-b8cd-f45902d5fd6d · outbound

This paper cites Mrir: Integrating multimodal insights for diffusion-based realistic im- age restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Mrir: Integrating multimodal insights for diffusion-based realistic im- age restoration,

Reference 48

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source=pdf_text observed=2026-08-11T04:18:28.155067Z digest=sha256:118a23dd6ebaf493e406012f78da073d771b23d1198070577789231ce2ae3a25

Observation c2333e17-4b74-42ff-803e-22b806612393 · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild,

Reference 49

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Observation 003a8bdd-7149-4269-96cd-1db737192ee9 · outbound

This paper cites Low-light image enhancement via generative perceptual priors,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Low-light image enhancement via generative perceptual priors,

Reference 50

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Observation d1a94dfc-b5c8-4c0b-bb87-aedd5ce32113 · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Multilingual E5 Text Embeddings: A Technical Report

Reference 51

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source=pdf_text observed=2026-08-11T04:18:28.273541Z digest=sha256:3d89724ff982c939ef36262df22de66c562f63025d71fbd12be783411066fdfb

Observation cc3cd0ae-b7f8-4f14-b231-22c76a8458d5 · outbound

This paper cites Layer Normalization.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Layer Normalization

Reference 52

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source=pdf_text observed=2026-08-11T04:18:28.278343Z digest=sha256:968bec5d94a6a90d58f6950d42be4cdee614d939ab9052d0276fbce9e3d66ae2

Observation 4247b249-84a6-497d-89cb-76d4d38bc460 · outbound

This paper cites Structure- preserving deraining with residue channel prior guidance,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Structure- preserving deraining with residue channel prior guidance,

Reference 53

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source=pdf_text observed=2026-08-11T04:18:28.282718Z digest=sha256:cbd6212155d4d3cc8c32a55fb4a21fe27defeac89db42f7eb4ed54b6c4ae5037

Observation 619a0727-9fe5-4360-a558-56cce461f9ca · outbound

This paper cites Rethinking coarse-to-fine approach in single image deblurring,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Rethinking coarse-to-fine approach in single image deblurring,

Reference 54

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source=pdf_text observed=2026-08-11T04:18:28.286544Z digest=sha256:98f53d7a18f906a876478066e90517fb3665c4961bbcc7017393320185c6267a

Observation 5592490b-ab56-4dc2-b495-8c612d68d6b2 · outbound

This paper cites Pearson correlation coefficient,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Pearson correlation coefficient,

Reference 55

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source=pdf_text observed=2026-08-11T04:18:28.290558Z digest=sha256:f92db9ab1d6ad7d557ef848c64883b3f0edc4fd5553d82fd3d67d78ca9d05d50

Observation 4e2e41c2-fba9-4d21-9406-dcfb8eef5606 · outbound

This paper cites Desnownet: Context-aware deep network for snow removal,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Desnownet: Context-aware deep network for snow removal,

Reference 56

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source=pdf_text observed=2026-08-11T04:18:28.294531Z digest=sha256:99739bab8a53079b4e93e96da4c08c1442ce20007a4b542185f1d5c8dfd11e3a

Observation 9ec8bab2-3325-4323-b17c-55c1621cddbc · outbound

This paper cites Heavy rain image restoration: Integrating physics model and conditional adversarial learning,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Heavy rain image restoration: Integrating physics model and conditional adversarial learning,

Reference 57

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source=pdf_text observed=2026-08-11T04:18:28.297991Z digest=sha256:702b1884256c10117d4eb6822fae48f2c7df06e2f702c7a534410e18fe3f3281

Observation 0f4be3a0-e553-4a37-8e42-3eace0ea6067 · outbound

This paper cites Deep learning for seeing through window with raindrops,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Deep learning for seeing through window with raindrops,

Reference 58

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source=pdf_text observed=2026-08-11T04:18:28.302272Z digest=sha256:09cf3bfb5424bd80f906367498d1cc6c64ef1721c939c42873e68d654d844866

Observation 99909e0f-5644-47b9-bea6-53aa7ff60ce5 · outbound

This paper cites Spatial attentive single-image deraining with a high quality real rain dataset,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Spatial attentive single-image deraining with a high quality real rain dataset,

Reference 59

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source=pdf_text observed=2026-08-11T04:18:28.306593Z digest=sha256:01437275ee3a5e829a5227a74ed8efb81d5f59784cb0f7ef9f02bdad51288521

Observation a80f7435-928d-4421-a0f1-6329f6adf1f3 · outbound

This paper cites JSTASR: joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal JSTASR: joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal,

Reference 60

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source=pdf_text observed=2026-08-11T04:18:28.310974Z digest=sha256:f85bbee1c4ce834e742fe1172aedb29480671aaf65e26f6bbffc09865b529de5

Observation f466a125-5bab-42c6-a70c-b6fdfab6ff47 · outbound

This paper cites Recurrent squeeze-and- excitation context aggregation net for single image deraining,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Recurrent squeeze-and- excitation context aggregation net for single image deraining,

Reference 61

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source=pdf_text observed=2026-08-11T04:18:28.315173Z digest=sha256:ba1da806c721c7fc664455f0228e260d45c55065f9913577091de5b166a2e35f

Observation 80b76ddd-4e2d-4663-a767-8fdc0ac92bbb · outbound

This paper cites Simple baselines for image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Simple baselines for image restoration,

Reference 62

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source=pdf_text observed=2026-08-11T04:18:28.318883Z digest=sha256:a6af5d4614d523f828446c45626e8f62dc64aae233f93bbd2f67bc38e2726d0f

Observation 3be5b10c-ddfb-438d-a1b6-3b2496a02f48 · outbound

This paper cites Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model,

Reference 63

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source=pdf_text observed=2026-08-11T04:18:28.323489Z digest=sha256:3920099b22701845f9b19637fa5d849a46cef9aca0a2447af773f69f0a7d347c

Observation 3874892f-8ec9-4b13-875d-cf627ef3b249 · outbound

This paper cites Learning weather-general and weather-specific features for image restoration under multiple adverse weather conditions,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Learning weather-general and weather-specific features for image restoration under multiple adverse weather conditions,

Reference 64

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source=pdf_text observed=2026-08-11T04:18:28.328190Z digest=sha256:278cf5c3aa82d2d564750694499636fc4dee3e9584e8b637514689d04ba04ed5

Observation f1895761-8073-41e2-bf43-d95cb69b40d9 · outbound

This paper cites Gridformer: Residual dense transformer with grid structure for image restoration in adverse weather conditions,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Gridformer: Residual dense transformer with grid structure for image restoration in adverse weather conditions,

Reference 65

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source=pdf_text observed=2026-08-11T04:18:28.332298Z digest=sha256:8313a32057bf3b4e1b9b199021abec377d1a775abed2144cd00a309250c9a8ce

Observation 54ac9708-dbfd-4bf9-be5c-e9d823969525 · outbound

This paper cites Teaching tailored to talent: Adverse weather restoration via prompt pool and depth-anything constraint,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Teaching tailored to talent: Adverse weather restoration via prompt pool and depth-anything constraint,

Reference 66

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Observation 8f9e3231-b6bc-4110-8d7d-c5721354a961 · outbound

This paper cites Prompt to restore, restore to prompt: Cyclic prompting for universal adverse weather removal,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Prompt to restore, restore to prompt: Cyclic prompting for universal adverse weather removal,

Reference 67

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Observation 3abce2e4-eed6-46ed-b9e2-4b50a0ee2ace · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 68

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Observation 5c7459a0-c3e8-4c62-ac1b-23bf8ec539cb · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Image-to-image translation with conditional adversarial networks,

Reference 69

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source=pdf_text observed=2026-08-11T04:18:28.349930Z digest=sha256:724b255ab3fffdfbf587ce6df141405903a27d5b841ba4496f7f2589242e9b87

Observation ce592f96-7280-4548-b90d-08965ebf3706 · outbound

This paper cites Rain-free and residue hand-in-hand: A progressive coupled network for real-time image deraining,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Rain-free and residue hand-in-hand: A progressive coupled network for real-time image deraining,

Reference 70

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Observation 340a8d7e-b037-4fd2-9219-a4483ecff9a5 · outbound

This paper cites Multi-stage progressive image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Multi-stage progressive image restoration,

Reference 71

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Observation 16ed1e85-bf63-402a-ab81-d761c2dd60b0 · outbound

This paper cites Dual residual networks leveraging the potential of paired operations for image restoration,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Dual residual networks leveraging the potential of paired operations for image restoration,

Reference 72

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Observation 847d823c-7f93-423f-a913-7d63e38d7990 · outbound

This paper cites Pre-trained image processing transformer,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Pre-trained image processing transformer,

Reference 73

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Observation cb858346-b402-4b66-9a3f-6dda2800eb79 · outbound

This paper cites MAXIM: multi-axis MLP for image processing,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal MAXIM: multi-axis MLP for image processing,

Reference 74

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Observation 07a9987e-fbd3-4550-972d-ce050f664665 · outbound

This paper cites Scope of validity of psnr in im- age/video quality assessment,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Scope of validity of psnr in im- age/video quality assessment,

Reference 75

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

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Image quality assessment: from error visibility to structural similarity,

Reference 76

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Observation f7008b7d-34cd-4432-888f-89a5e92f8182 · outbound

This paper cites Adam: A method for stochastic optimization,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Adam: A method for stochastic optimization,

Reference 77

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Observation cdcc7a05-db34-4f2d-90b4-03e8f6ecc58a · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal SGDR: stochastic gradient descent with warm restarts,

Reference 78

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Observation e399f289-0bca-40b4-aec8-92a4c6f64b2a · outbound

This paper cites LDP: language- driven dual-pixel image defocus deblurring network,.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal LDP: language- driven dual-pixel image defocus deblurring network,

Reference 79

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Observation 627871f7-fde1-4e30-8bc2-2944257584a4 · outbound

This paper cites an unresolved cited work.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Unresolved cited work

Reference 2016

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Observation 5a01d0f8-1e5e-4566-bf99-fb53bad6ddcd · outbound

This paper cites Her research interests include deep learning and computer vision.

Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal Her research interests include deep learning and computer vision

Reference 2019

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