UniSER: A Foundation Model for Unified Soft Effects Removal | Paper Citation Record

Observation 575af2af-5317-45ad-84a8-cc5f9527853e · outbound

This paper cites I-haze: A dehazing bench- mark with real hazy and haze-free indoor images.

UniSER: A Foundation Model for Unified Soft Effects Removal I-haze: A dehazing bench- mark with real hazy and haze-free indoor images

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.245229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb76d0b4-a680-4632-ba2e-3b3098e79b03 · outbound

This paper cites O-haze: a dehazing bench- mark with real hazy and haze-free outdoor images.

UniSER: A Foundation Model for Unified Soft Effects Removal O-haze: a dehazing bench- mark with real hazy and haze-free outdoor images

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.236987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac6ffa81-da47-4100-b055-020c271ea498 · outbound

This paper cites Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images.

UniSER: A Foundation Model for Unified Soft Effects Removal Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.229015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15fae6b9-1903-4535-a9fa-971bef09420b · outbound

This paper cites Nh-haze: An image dehazing benchmark with non- homogeneous hazy and haze-free images.

UniSER: A Foundation Model for Unified Soft Effects Removal Nh-haze: An image dehazing benchmark with non- homogeneous hazy and haze-free images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.233368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 412d8aab-8acf-4bc1-8908-37822f7050b0 · outbound

This paper cites Ntire 2021 nonhomogeneous dehazing challenge report.

UniSER: A Foundation Model for Unified Soft Effects Removal Ntire 2021 nonhomogeneous dehazing challenge report

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.241448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3f233fb-93d1-4b92-9190-b882cdda68e4 · outbound

This paper cites Ntire 2023 hr non- homogeneous dehazing challenge report.

UniSER: A Foundation Model for Unified Soft Effects Removal Ntire 2023 hr non- homogeneous dehazing challenge report

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.371095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2eca58cb-6913-4a6d-8712-4e2c1fb1b55c · outbound

This paper cites Ntire 2024 dense and non-homogeneous dehazing challenge report.

UniSER: A Foundation Model for Unified Soft Effects Removal Ntire 2024 dense and non-homogeneous dehazing challenge report

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.279524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e24b0113-ad70-4ab8-8f01-7ddaa6f325bb · outbound

This paper cites Qwen2.5-VL Technical Report.

UniSER: A Foundation Model for Unified Soft Effects Removal Qwen2.5-VL Technical Report

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:20:16.826342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f74be83-1e62-43c9-802f-f114668f5db5 · outbound

This paper cites Blender—a 3d modelling and rendering package.Blender Foundation.

UniSER: A Foundation Model for Unified Soft Effects Removal Blender—a 3d modelling and rendering package.Blender Foundation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.300219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c79a26c-6730-4a6a-b2f8-544e6b64612f · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

UniSER: A Foundation Model for Unified Soft Effects Removal In- structpix2pix: Learning to follow image editing instructions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.276157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79ce24d9-8f39-43df-9104-e30793547132 · outbound

This paper cites Seedream-4: A large-scale text-to-image gener- ation model.

UniSER: A Foundation Model for Unified Soft Effects Removal Seedream-4: A large-scale text-to-image gener- ation model

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.296852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77193259-eb8e-48a3-a540-328fdcbf5779 · outbound

This paper cites Gated context aggregation network for image dehazing and derain- ing.

UniSER: A Foundation Model for Unified Soft Effects Removal Gated context aggregation network for image dehazing and derain- ing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.313783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7495f7cf-2ad3-463b-971d-5d15d413ac71 · outbound

This paper cites Unirestore: Unified perceptual and task-oriented image restoration model using diffusion prior.

UniSER: A Foundation Model for Unified Soft Effects Removal Unirestore: Unified perceptual and task-oriented image restoration model using diffusion prior

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.481478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d531ea71-d1fe-457d-9c6d-d4ec95bd4b56 · outbound

This paper cites Unireal: Universal image generation and editing via learning real-world dynamics.

UniSER: A Foundation Model for Unified Soft Effects Removal Unireal: Universal image generation and editing via learning real-world dynamics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.478814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17774d9b-43bd-446b-89b1-33f815775ee6 · outbound

This paper cites Psd: Principled synthetic-to-real dehazing guided by physi- cal priors.

UniSER: A Foundation Model for Unified Soft Effects Removal Psd: Principled synthetic-to-real dehazing guided by physi- cal priors

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.503036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27166e61-157f-410b-ae78-79f619de9197 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

UniSER: A Foundation Model for Unified Soft Effects Removal Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:20:16.782634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83308507-fc51-4f3e-9482-23a131bd3663 · outbound

This paper cites Flare7k: A phenomenological night- time flare removal dataset.Advances in Neural Information Processing Systems, 35:3926–3937.

UniSER: A Foundation Model for Unified Soft Effects Removal Flare7k: A phenomenological night- time flare removal dataset.Advances in Neural Information Processing Systems, 35:3926–3937

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.471105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51499bca-d8db-4d1b-90e4-01a75a0aff9a · outbound

This paper cites Nighttime smartphone reflective flare re- moval using optical center symmetry prior.

UniSER: A Foundation Model for Unified Soft Effects Removal Nighttime smartphone reflective flare re- moval using optical center symmetry prior

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.382549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bb12adc-6d6e-4ed4-82bb-88ed6f762eae · outbound

This paper cites MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results.

UniSER: A Foundation Model for Unified Soft Effects Removal MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:16.804426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0dc6d03-7f63-4867-9022-8e14dbb1f702 · outbound

This paper cites Shadowrefiner: Towards mask-free shadow removal via fast fourier transformer.

UniSER: A Foundation Model for Unified Soft Effects Removal Shadowrefiner: Towards mask-free shadow removal via fast fourier transformer

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.265794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3247c655-5935-4890-b9d5-1c7c18f5aa46 · outbound

This paper cites Location-aware single image reflection re- 9 moval.

UniSER: A Foundation Model for Unified Soft Effects Removal Location-aware single image reflection re- 9 moval

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.463735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4eec4793-98df-48bd-9aac-7ce02a2a834a · outbound

This paper cites Cycle- dehaze: Enhanced cyclegan for single image dehazing.

UniSER: A Foundation Model for Unified Soft Effects Removal Cycle- dehaze: Enhanced cyclegan for single image dehazing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.461057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e7bc7ac-ca9d-4c3c-8f98-e9e154782e21 · outbound

This paper cites A generic deep architecture for single image re- flection removal and image smoothing.

UniSER: A Foundation Model for Unified Soft Effects Removal A generic deep architecture for single image re- flection removal and image smoothing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.395480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b592ff4-1d34-4dad-aded-e325a0b3b57e · outbound

This paper cites Auto- exposure fusion for single-image shadow removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Auto- exposure fusion for single-image shadow removal

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.290162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48d4c7e2-e089-434a-86f4-7ad8267cc2c2 · outbound

This paper cites Deflare-net: Flare detection and removal network.

UniSER: A Foundation Model for Unified Soft Effects Removal Deflare-net: Flare detection and removal network

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.451599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07e42623-f629-4c73-8076-397a47cee871 · outbound

This paper cites Introducing gemini 2.5 flash image, our state-of- the-art image model.

UniSER: A Foundation Model for Unified Soft Effects Removal Introducing gemini 2.5 flash image, our state-of- the-art image model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.269114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1c39454-4f42-4006-a27c-60d5485fe1b8 · outbound

This paper cites Shadowformer: Global context helps shadow removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Shadowformer: Global context helps shadow removal

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.444220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7747a02c-93ee-46cf-8e88-995d85fb9edd · outbound

This paper cites Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.413519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56f87c93-22af-44a3-bae3-b5bd39da914a · outbound

This paper cites Single-image shadow detection and removal using paired regions.

UniSER: A Foundation Model for Unified Soft Effects Removal Single-image shadow detection and removal using paired regions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.337950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bcea78a1-204e-4f66-b062-38b027ddd1e0 · outbound

This paper cites Single image haze removal using dark channel prior.IEEE transactions on pat- tern analysis and machine intelligence, 33(12):2341–2353.

UniSER: A Foundation Model for Unified Soft Effects Removal Single image haze removal using dark channel prior.IEEE transactions on pat- tern analysis and machine intelligence, 33(12):2341–2353

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.359469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6cb7ad65-db9c-4ac7-bee9-f580779b6381 · outbound

This paper cites Disentan- gle nighttime lens flares: self-supervised generation-based lens flare removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Disentan- gle nighttime lens flares: self-supervised generation-based lens flare removal

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.378939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d500881-a9d8-4a7f-85b9-b275adc14277 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

UniSER: A Foundation Model for Unified Soft Effects Removal Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:20:16.793975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45514056-06f4-40fa-a3fa-75085a3aebb1 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

UniSER: A Foundation Model for Unified Soft Effects Removal Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.402788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d60671e5-bcfd-4b5f-a873-376a4beb1ac6 · outbound

This paper cites L-differ: Single image reflection re- moval with language-based diffusion model.

UniSER: A Foundation Model for Unified Soft Effects Removal L-differ: Single image reflection re- moval with language-based diffusion model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.410202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e490ca1-67e8-479a-9146-0d8b5af41180 · outbound

This paper cites Trash or treasure? an interac- tive dual-stream strategy for single image reflection separa- tion.Advances in Neural Information Processing Systems, 34:24683–24694.

UniSER: A Foundation Model for Unified Soft Effects Removal Trash or treasure? an interac- tive dual-stream strategy for single image reflection separa- tion.Advances in Neural Information Processing Systems, 34:24683–24694

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.455489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f26373c2-fd5b-4d66-941e-59da91c166f9 · outbound

This paper cites Single image reflection sep- aration via component synergy.

UniSER: A Foundation Model for Unified Soft Effects Removal Single image reflection sep- aration via component synergy

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.316964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25189980-d45f-4ead-b0fa-5e65e4979e91 · outbound

This paper cites Single image reflection removal via inter-layer complementarity.

UniSER: A Foundation Model for Unified Soft Effects Removal Single image reflection removal via inter-layer complementarity

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:16.814633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8f3d519-a660-4e1d-b630-a608815c0fce · outbound

This paper cites GPT-4o System Card.

UniSER: A Foundation Model for Unified Soft Effects Removal GPT-4o System Card

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:20:16.764244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a36d600-7f8b-4c42-8dc1-ecbeb046c6fd · outbound

This paper cites Hazespace2m: A dataset for haze aware single image dehazing.

UniSER: A Foundation Model for Unified Soft Effects Removal Hazespace2m: A dataset for haze aware single image dehazing

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.399113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 850c74c1-9add-4725-a002-5f4cb8a29c3d · outbound

This paper cites Autodir: Automatic all-in-one image restoration with latent diffusion.

UniSER: A Foundation Model for Unified Soft Effects Removal Autodir: Automatic all-in-one image restoration with latent diffusion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.286633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5353d9d-3bdd-4be3-b919-6333bff12609 · outbound

This paper cites Dc- shadownet: Single-image hard and soft shadow removal us- ing unsupervised domain-classifier guided network.

UniSER: A Foundation Model for Unified Soft Effects Removal Dc- shadownet: Single-image hard and soft shadow removal us- ing unsupervised domain-classifier guided network

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.252328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8cd7b8f-d17b-43c1-ae6a-0eacbb3f7f09 · outbound

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

UniSER: A Foundation Model for Unified Soft Effects Removal Imagic: Text-based real image editing with diffusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.448369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f6c9128-2474-4411-bfd5-43ef6cd26b4f · outbound

This paper cites Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis.

UniSER: A Foundation Model for Unified Soft Effects Removal Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:16.788700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 427d1584-73c2-4f61-9875-b983379833ea · outbound

This paper cites Single image reflection removal with physically-based training images.

UniSER: A Foundation Model for Unified Soft Effects Removal Single image reflection removal with physically-based training images

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.458434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2f4b5a5-f6d6-4132-9402-bae54a8bd5e6 · outbound

This paper cites Auto-Encoding Variational Bayes.

UniSER: A Foundation Model for Unified Soft Effects Removal Auto-Encoding Variational Bayes

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:20:16.751102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc6703cb-2a7b-4c28-8e80-634fc64380c5 · outbound

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

UniSER: A Foundation Model for Unified Soft Effects Removal FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:20:16.799186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64a70f84-65d9-4a3e-9949-5957279adda6 · outbound

This paper cites Shadow removal via shadow image decomposition.

UniSER: A Foundation Model for Unified Soft Effects Removal Shadow removal via shadow image decomposition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.341490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cae2e9e0-e8a2-4626-a68a-3595fbbaec6c · outbound

This paper cites Robust reflection re- moval with reflection-free flash-only cues.

UniSER: A Foundation Model for Unified Soft Effects Removal Robust reflection re- moval with reflection-free flash-only cues

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.426329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14dc4a7f-89b9-4816-b902-0aca62392e68 · outbound

This paper cites Polarized reflection re- moval with perfect alignment in the wild.

UniSER: A Foundation Model for Unified Soft Effects Removal Polarized reflection re- moval with perfect alignment in the wild

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.272240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e64cab80-8bf9-4cbb-9e8c-2e69ca819217 · outbound

This paper cites Aod-net: All-in-one dehazing network.

UniSER: A Foundation Model for Unified Soft Effects Removal Aod-net: All-in-one dehazing network

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.351547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 299b3209-d0b9-47bd-bc4d-b1f97eeee9ab · outbound

This paper cites Benchmarking single- image dehazing and beyond.IEEE transactions on image processing, 28(1):492–505.

UniSER: A Foundation Model for Unified Soft Effects Removal Benchmarking single- image dehazing and beyond.IEEE transactions on image processing, 28(1):492–505

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.466282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b337de53-a548-4d5f-9cb3-cf82fb11d4d1 · outbound

This paper cites Single image reflection removal through cascaded refinement.

UniSER: A Foundation Model for Unified Soft Effects Removal Single image reflection removal through cascaded refinement

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.476184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96cc442c-a8c5-4cf1-a029-75ae6e692636 · outbound

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

UniSER: A Foundation Model for Unified Soft Effects Removal All in one bad weather removal using architectural search

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.307049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce3a49a8-db6b-4495-ba75-e6ba0609dfb7 · outbound

This paper cites DenseSR: Image Shadow Removal as Dense Prediction.

UniSER: A Foundation Model for Unified Soft Effects Removal DenseSR: Image Shadow Removal as Dense Prediction

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:16.820040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d72edbf0-6cbc-4b6f-ba4a-c911030429b5 · outbound

This paper cites Diff-plugin: Revitalizing details for diffusion-based low-level tasks.

UniSER: A Foundation Model for Unified Soft Effects Removal Diff-plugin: Revitalizing details for diffusion-based low-level tasks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.429588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a28159aa-468b-4911-b841-ad964f25f61b · outbound

This paper cites From shadow generation to shadow removal.

UniSER: A Foundation Model for Unified Soft Effects Removal From shadow generation to shadow removal

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.374746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fcbda7f9-d68c-4997-aa39-a99252802ed8 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32.

UniSER: A Foundation Model for Unified Soft Effects Removal Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.392167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12d474ec-5252-4036-a71b-053ad7de5b30 · outbound

This paper cites Promptir: Prompting for all-in- one image restoration.Advances in Neural Information Pro- cessing Systems, 36:71275–71293.

UniSER: A Foundation Model for Unified Soft Effects Removal Promptir: Prompting for all-in- one image restoration.Advances in Neural Information Pro- cessing Systems, 36:71275–71293

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.327075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc18c315-0e75-4d34-bf57-91f7d29b2c15 · outbound

This paper cites Deshadownet: A multi-context embedding deep network for shadow removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Deshadownet: A multi-context embedding deep network for shadow removal

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.497533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b60f3a54-07ea-4ee5-9055-9a6a9fa7b12c · outbound

This paper cites Unsupervised single-image reflection removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Unsupervised single-image reflection removal

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.283267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecf0f9a5-0204-4a98-917b-2e1866c87df1 · outbound

This paper cites Awracle: All- weather image restoration using visual in-context learning.

UniSER: A Foundation Model for Unified Soft Effects Removal Awracle: All- weather image restoration using visual in-context learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.385720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03546614-51d6-4ddf-ae44-8094ea8388c8 · outbound

This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing.

UniSER: A Foundation Model for Unified Soft Effects Removal Dragdiffusion: Harnessing diffusion models for interactive point-based image editing

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.334412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5303ebc6-d426-49d2-a66d-08cdde75079d · outbound

This paper cites Denoising Diffusion Implicit Models.

UniSER: A Foundation Model for Unified Soft Effects Removal Denoising Diffusion Implicit Models

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-17T21:20:16.809115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e36fdcc-d61b-4290-9108-d8dcfcf500a9 · outbound

This paper cites Vision transformers for single image dehazing.IEEE Transactions on Image Processing, 32:1927–1941.

UniSER: A Foundation Model for Unified Soft Effects Removal Vision transformers for single image dehazing.IEEE Transactions on Image Processing, 32:1927–1941

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.417173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3de2b88-23a2-43fc-9e40-61c96a5f9669 · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

UniSER: A Foundation Model for Unified Soft Effects Removal Resolution-robust large mask inpainting with fourier convolutions

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.330688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6ec7085-9dfc-4984-8907-1b5f655345d3 · outbound

This paper cites Degradation-aware feature perturbation for all- in-one image restoration.

UniSER: A Foundation Model for Unified Soft Effects Removal Degradation-aware feature perturbation for all- in-one image restoration

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.367342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60462e1b-f70b-4e40-8e39-1d8114cf9476 · outbound

This paper cites Sfnet-a spatial-frequency domain neural network for image lens flare removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Sfnet-a spatial-frequency domain neural network for image lens flare removal

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.344691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e37cf380-63d7-428d-9fb8-d5f52578d06f · outbound

This paper cites Wsrd: A novel benchmark for high resolution image shadow removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Wsrd: A novel benchmark for high resolution image shadow removal

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.323678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04c2ce88-5ea5-4043-87a4-d9b98e6a900b · outbound

This paper cites Benchmarking single-image reflection removal algorithms.

UniSER: A Foundation Model for Unified Soft Effects Removal Benchmarking single-image reflection removal algorithms

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.259003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7bcaf45-d357-4bb7-bfb2-5b2a68a6ece2 · outbound

This paper cites Stacked condi- tional generative adversarial networks for jointly learning shadow detection and shadow removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Stacked condi- tional generative adversarial networks for jointly learning shadow detection and shadow removal

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.436419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83d07db9-3c05-4596-881c-4458f4eaa85c · outbound

This paper cites Learn- ing hazing to dehazing: Towards realistic haze generation for real-world image dehazing.

UniSER: A Foundation Model for Unified Soft Effects Removal Learn- ing hazing to dehazing: Towards realistic haze generation for real-world image dehazing

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.363367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a574eb68-3019-4d8b-b4da-62f9767296fd · outbound

This paper cites PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal.

UniSER: A Foundation Model for Unified Soft Effects Removal PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:16.776998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c30804f-54b3-47f4-9929-686420a4b8ee · outbound

This paper cites Ucl-dehaze: Toward real-world image dehazing via un- 11 supervised contrastive learning.IEEE Transactions on Im- age Processing, 33:1361–1374.

UniSER: A Foundation Model for Unified Soft Effects Removal Ucl-dehaze: Toward real-world image dehazing via un- 11 supervised contrastive learning.IEEE Transactions on Im- age Processing, 33:1361–1374

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.406513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c9816db-9f02-4cac-a1d3-4a1d44f704d4 · outbound

This paper cites Single image reflection removal be- yond linearity.

UniSER: A Foundation Model for Unified Soft Effects Removal Single image reflection removal be- yond linearity

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.310431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54edd011-2137-4cca-b632-f6d8b163acf4 · outbound

This paper cites How to train neural networks for flare removal.

UniSER: A Foundation Model for Unified Soft Effects Removal How to train neural networks for flare removal

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.473804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a120405-0028-43e5-8799-c99ba74115c3 · outbound

This paper cites Detail-preserving latent diffusion for stable shadow removal.

UniSER: A Foundation Model for Unified Soft Effects Removal Detail-preserving latent diffusion for stable shadow removal

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.488852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a32c7500-f603-4f58-b3a8-4a3b71a1b5ae · outbound

This paper cites DFDNet: Dynamic Frequency-Guided De-Flare Network.

UniSER: A Foundation Model for Unified Soft Effects Removal DFDNet: Dynamic Frequency-Guided De-Flare Network

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:16.742270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 230833a6-5b13-4a7e-bbf0-30140c75df15 · outbound

This paper cites Proximal dehaze-net: A prior learning-based deep network for single image dehazing.

UniSER: A Foundation Model for Unified Soft Effects Removal Proximal dehaze-net: A prior learning-based deep network for single image dehazing

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.248903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aaefe9ff-5416-4849-bff9-0d0a40055a06 · outbound

This paper cites See- ing deeply and bidirectionally: A deep learning approach for single image reflection removal.

UniSER: A Foundation Model for Unified Soft Effects Removal See- ing deeply and bidirectionally: A deep learning approach for single image reflection removal

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.423409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03046290-6436-42de-bad4-c755baeb3122 · outbound

This paper cites Nighttime dehazing with a synthetic benchmark.

UniSER: A Foundation Model for Unified Soft Effects Removal Nighttime dehazing with a synthetic benchmark

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.484176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55344361-98a3-4824-8c78-1b16db9d502d · outbound

This paper cites Shadow re- mover: Image shadow removal based on illumination recov- ering optimization.IEEE Transactions on Image Processing, 24(11):4623–4636.

UniSER: A Foundation Model for Unified Soft Effects Removal Shadow re- mover: Image shadow removal based on illumination recov- ering optimization.IEEE Transactions on Image Processing, 24(11):4623–4636

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.354937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4342f71-20b8-4d4c-a614-778c02bb28c4 · outbound

This paper cites Pa-nafnet: An improved nonlinear activation free network with pyramid attention for single image reflection removal.Digital Signal Processing, page 105474.

UniSER: A Foundation Model for Unified Soft Effects Removal Pa-nafnet: An improved nonlinear activation free network with pyramid attention for single image reflection removal.Digital Signal Processing, page 105474

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.262431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2fc8851f-b94f-45de-8ac2-58fd708f8aba · outbound

This paper cites Lmhaze: intensity-aware image dehazing with a large- scale multi-intensity real haze dataset.

UniSER: A Foundation Model for Unified Soft Effects Removal Lmhaze: intensity-aware image dehazing with a large- scale multi-intensity real haze dataset

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.500214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0c2043d-2b30-476a-b69e-de67218f744f · outbound

This paper cites Blind image quality assessment via vision- language correspondence: A multitask learning perspective.

UniSER: A Foundation Model for Unified Soft Effects Removal Blind image quality assessment via vision- language correspondence: A multitask learning perspective

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.440493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ee88480-d96d-4a42-8708-114d737d2851 · outbound

This paper cites Single image re- flection separation with perceptual losses.

UniSER: A Foundation Model for Unified Soft Effects Removal Single image re- flection separation with perceptual losses

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.304146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a21b04b-aab4-47d1-9ef8-698b50d0ab68 · outbound

This paper cites Learning to restore hazy video: A new real-world dataset and a new method.

UniSER: A Foundation Model for Unified Soft Effects Removal Learning to restore hazy video: A new real-world dataset and a new method

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.348310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7bbcdce8-fd9b-4a15-9ff2-a058e2e2bb30 · outbound

This paper cites CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training.

UniSER: A Foundation Model for Unified Soft Effects Removal CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:16.771163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a9d13d7a-cde3-4671-b3f8-25bd473f4468 · outbound

This paper cites Single image reflection removal with absorption effect.

UniSER: A Foundation Model for Unified Soft Effects Removal Single image reflection removal with absorption effect

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.420181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e56e605d-134a-4ae7-aebb-82c7fbc94c68 · outbound

This paper cites Difflare: Removing Image Lens Flare with Latent Diffusion Model.

UniSER: A Foundation Model for Unified Soft Effects Removal Difflare: Removing Image Lens Flare with Latent Diffusion Model

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:16.758135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c6c260d-5f07-4228-b146-d05d58d23742 · outbound

This paper cites Improving lens flare removal with general-purpose pipeline and multiple light sources re- covery.

UniSER: A Foundation Model for Unified Soft Effects Removal Improving lens flare removal with general-purpose pipeline and multiple light sources re- covery

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.432969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6579ed97-5bb0-4d33-92cb-13e08d53a91f · outbound

This paper cites Image lens flare removal using adversarial curve learning.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence.

UniSER: A Foundation Model for Unified Soft Effects Removal Image lens flare removal using adversarial curve learning.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.388889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70b156ab-f10f-4bea-94a1-f439028fcc6b · outbound

This paper cites Multi-stream fusion network with generalized smooth l 1 loss for single image dehazing.IEEE Transac- tions on Image Processing, 30:7620–7635.

UniSER: A Foundation Model for Unified Soft Effects Removal Multi-stream fusion network with generalized smooth l 1 loss for single image dehazing.IEEE Transac- tions on Image Processing, 30:7620–7635

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.468756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 006e6d5a-3339-4207-87b3-9254c5df4cc9 · outbound

This paper cites Revisiting sin- gle image reflection removal in the wild.

UniSER: A Foundation Model for Unified Soft Effects Removal Revisiting sin- gle image reflection removal in the wild

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.255572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08dcb492-19a7-4181-afdb-61e3afeba761 · outbound

This paper cites Our data collection process aggregates established bench- marks from each domain.

UniSER: A Foundation Model for Unified Soft Effects Removal Our data collection process aggregates established bench- marks from each domain

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.293751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 082abeea-8f9f-4b47-b760-5a473675272b · outbound

This paper cites This pipeline was designed to overcome the limitations of existing synthetic datasets, which often lack physical realism and diversity.

UniSER: A Foundation Model for Unified Soft Effects Removal This pipeline was designed to overcome the limitations of existing synthetic datasets, which often lack physical realism and diversity

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.491813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5756b832-7296-42b1-941f-dff6151eade0 · outbound

This paper cites top-tier image quality assessment expert.

UniSER: A Foundation Model for Unified Soft Effects Removal top-tier image quality assessment expert

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T21:20:17.494748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a213cf85-3ecb-4be2-88dd-ee22e66932ae · outbound

This paper cites an unresolved cited work.

UniSER: A Foundation Model for Unified Soft Effects Removal Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-05-17T21:20:17.486450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0940d06-4448-43e2-9818-7c64bb434849 · outbound

This paper cites More Visual Results We provide more visual results in Fig.

UniSER: A Foundation Model for Unified Soft Effects Removal More Visual Results We provide more visual results in Fig

Reference 98

Resolution: malformed identifier; raw_fallback, observed 2026-05-17T21:20:17.320220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers