UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders | Paper Citation Record

Observation 6aecd654-3a04-427c-b642-76efc27b4a9a · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

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Observation d9fc5d41-16d8-4161-9084-f14b8de71451 · outbound

This paper cites Deep ViT Features as Dense Visual Descriptors.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Deep ViT Features as Dense Visual Descriptors

Reference 2

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Observation 0ffb985b-7654-4d14-9ed5-db3483e2cc7e · outbound

This paper cites Layer Normalization.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Layer Normalization

Reference 3

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Observation 1a953ff9-2116-4f56-aced-80e6337d3311 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Emerg- ing properties in self-supervised vision transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:39.585754Z

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This paper cites Improved Baselines with Momentum Contrastive Learning.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Improved Baselines with Momentum Contrastive Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:39.716979Z

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This paper cites An empirical study of training self-supervised vision transformers.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders An empirical study of training self-supervised vision transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:39.839045Z

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Observation 7e71d1a2-2584-4b4a-adff-8aa328e4c1a6 · outbound

This paper cites Fsrnet: End-to-end learning face super-resolution with facial priors.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Fsrnet: End-to-end learning face super-resolution with facial priors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:39.976234Z

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Observation 7f45d0e8-f666-49aa-8fe0-4d454a9f53a2 · outbound

This paper cites Learning continuous image representation with local implicit image function.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Learning continuous image representation with local implicit image function

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:40.198819Z

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Observation 6123228e-c22a-4e1e-bd26-102ba71883f0 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders The cityscapes dataset for semantic urban scene understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:40.285336Z

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Observation 3424be39-1bdd-489d-90c7-a0529393ebd7 · outbound

This paper cites Jafar: Jack up any feature at any resolution.arXiv preprint arXiv:2506.11136, 2025.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Jafar: Jack up any feature at any resolution.arXiv preprint arXiv:2506.11136, 2025

Reference 10

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Observation 513152f8-ab69-492f-a5b7-88ce9d535b65 · outbound

This paper cites Pixel recursive super resolution.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Pixel recursive super resolution

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:40.442771Z

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Observation a4e938fb-6c1a-4dae-9c17-cd2564e04f8b · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Imagenet: A large-scale hierarchical image database

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:40.518158Z

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Observation 05ecc0a7-29bf-45be-9e54-42fb4cf62626 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:40.597227Z

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Observation c7def0b2-68dd-426f-b377-f1ba53291699 · outbound

This paper cites The pascal visual object classes challenge: A retrospective.Inter- national journal of computer vision, 111(1):98–136, 2015.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders The pascal visual object classes challenge: A retrospective.Inter- national journal of computer vision, 111(1):98–136, 2015

Reference 14

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Observation 6a445f60-1006-43c8-89fb-d46bd8209fde · outbound

This paper cites FeatUp: A Model-Agnostic Framework for Features at Any Resolution.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:40.867249Z

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Observation 2a02c920-b7dd-46cc-ac2b-929e1d9f1c09 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Momentum contrast for unsupervised visual rep- resentation learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.015793Z

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Observation 893b2d6a-d499-48bf-b7cb-a921771f07ef · outbound

This paper cites Masked autoencoders are scalable vision learners.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Masked autoencoders are scalable vision learners

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.124540Z

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Observation 7fad0f2a-d470-45f4-aa9d-30d5c9227b70 · outbound

This paper cites LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.230471Z

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Observation 66726763-3927-4013-9c30-f4152edf8f83 · outbound

This paper cites Upsample Guidance: Scale Up Diffusion Models without Training.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Upsample Guidance: Scale Up Diffusion Models without Training

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.379766Z

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Observation e5d9c67a-0192-4ec2-8da4-9da8dc40bf05 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Batch normalization: Accelerating deep network training by reducing internal co- variate shift

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.520400Z

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Observation 03ec13c6-8c2e-46d4-97db-fa7f3c164db0 · outbound

This paper cites Auto-Encoding Variational Bayes.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Auto-Encoding Variational Bayes

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.674231Z

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Observation b7077177-f56c-4c26-9629-87295c1286ee · outbound

This paper cites Joint bilateral upsampling.ACM Transactions on Graphics (ToG), 26(3):96–es, 2007.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Joint bilateral upsampling.ACM Transactions on Graphics (ToG), 26(3):96–es, 2007

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.748602Z

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Observation 85e449d5-2d1f-4690-9a29-38b1f89ca2a6 · outbound

This paper cites Flux.1 kontext: Flow matching for in-context image generation and editing in latent space,.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Flux.1 kontext: Flow matching for in-context image generation and editing in latent space,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.854450Z

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Observation cf6b4660-94d4-4e77-87fa-2422df4d567d · outbound

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

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:41.976889Z

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Observation 51031ae7-78bf-468e-9f1d-a52641c0ef06 · outbound

This paper cites ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:42.138653Z

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Observation 4368d641-2dd6-40d1-9a6e-478dc6fa286a · outbound

This paper cites Microsoft coco: Common objects in context.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Microsoft coco: Common objects in context

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:42.279826Z

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Observation 615e72f6-cf68-481b-a870-327dd984f663 · outbound

This paper cites Accdiffusion v2: Towards more accurate higher-resolution diffusion extrapolation.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 2025.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Accdiffusion v2: Towards more accurate higher-resolution diffusion extrapolation.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:42.391606Z

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Observation fa274487-60bb-4023-98af-57569f6c3463 · outbound

This paper cites Flow Matching for Generative Modeling.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Flow Matching for Generative Modeling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:42.472561Z

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Observation 2548fd70-af81-4d3d-8013-e4deb759ae2d · outbound

This paper cites Learn- ing to upsample by learning to sample.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Learn- ing to upsample by learning to sample

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:42.575786Z

Source-reported events for the cited work

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Observation 14bed1ad-4413-4baa-a022-cc905c725757 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:42.828988Z

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Unavailable: canonical work link unavailable.

Observation f479e434-6fbb-4be4-93ab-2c24cde2a5b6 · outbound

This paper cites Sapa: Similarity-aware point affiliation for feature upsampling.Advances in Neural Information Pro- cessing Systems, 35:20889–20901, 2022.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Sapa: Similarity-aware point affiliation for feature upsampling.Advances in Neural Information Pro- cessing Systems, 35:20889–20901, 2022

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:42.960369Z

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Observation 3bea0033-bd96-400f-bbf3-6df7950f5d56 · outbound

This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.048470Z

Source-reported events for the cited work

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Observation bb44b3d8-57ba-4308-abce-c08ebb22a90d · outbound

This paper cites Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.133215Z

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Observation 689ace01-31b8-4c19-9ce2-c98e81d37848 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders DINOv2: Learning Robust Visual Features without Supervision

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.228383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6f763ce-588d-4821-b5c9-1d50068c6bda · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.321397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985ff78f-4b39-4da1-b51a-0b34a0800123 · outbound

This paper cites Freescale: Unleashing the resolution of diffusion models via tuning-free scale fusion.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Freescale: Unleashing the resolution of diffusion models via tuning-free scale fusion

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.409284Z

Source-reported events for the cited work

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Observation 7158cca1-fe79-4fd6-95f2-4277f7d1d401 · outbound

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

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Learning transferable visual models from natural language supervi- sion

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.522515Z

Source-reported events for the cited work

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Observation a882ecad-eef9-4613-9988-24961ae8924a · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders High-resolution image syn- thesis with latent diffusion models, 2021

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.678607Z

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Observation ce6e6387-2aec-402f-ab58-4db3ade99951 · outbound

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

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders High-resolution image synthesis with latent diffusion models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.839210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 972bf6b0-88b7-41b2-8c42-f0d97c8ed91a · outbound

This paper cites Image super- resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726,.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Image super- resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:43.890272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17e8011d-53b4-4b3f-9aca-ffd32cee73af · outbound

This paper cites Fmboost: Boosting latent diffusion with flow matching.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Fmboost: Boosting latent diffusion with flow matching

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:44.055645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826a8c7d-4e84-4393-8a75-a7a3228fc8b9 · outbound

This paper cites DINOv3.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders DINOv3

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:44.241700Z

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Observation 7d593c30-0bec-44b7-a844-f16543b8ddcd · outbound

This paper cites Lift: A surprisingly simple lightweight feature transform for dense vit descriptors.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Lift: A surprisingly simple lightweight feature transform for dense vit descriptors

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:44.362205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a661e152-786f-4ad6-87eb-bf55b20a7369 · outbound

This paper cites Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:44.475580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63c28ab0-704d-40ea-bc44-dd7b51c6dcab · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:44.598408Z

Source-reported events for the cited work

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Observation e6b04479-1029-49ec-9219-3baabd87c9ce · outbound

This paper cites Unsplash Full, Lite Dataset 1.3.0, 2025.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Unsplash Full, Lite Dataset 1.3.0, 2025

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:44.711890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fa6b2e-ed41-4df2-8894-090b1bbd3456 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:44.863922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039a7715-92dc-4cc5-a0a0-f8afe6e3ec75 · outbound

This paper cites Teaching matters: Investigating the role of supervision in vision transformers.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Teaching matters: Investigating the role of supervision in vision transformers

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:44.995598Z

Source-reported events for the cited work

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Observation efb74176-2e79-4c0f-a3ed-4d2647769af9 · outbound

This paper cites Carafe: Content-aware reassembly of fea- tures.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Carafe: Content-aware reassembly of fea- tures

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:45.167837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae9fca4e-eaf5-4e6d-9d1c-a610e7c722f1 · outbound

This paper cites Image quality assessment: from error visibility to 10 structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Image quality assessment: from error visibility to 10 structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:45.248026Z

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Unavailable: canonical work link unavailable.

Observation 1651e6bb-a2ee-4dec-aa6b-6975aa7a5b88 · outbound

This paper cites Anyup: Universal feature upsampling.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Anyup: Universal feature upsampling

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:45.331077Z

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Observation ead6bcca-2b93-4f9f-baf2-4955ec74fbbb · outbound

This paper cites Rectifiedhr: Enable efficient high-resolution image generation via energy rectification.arXiv e-prints, pages arXiv–2503, 2025.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Rectifiedhr: Enable efficient high-resolution image generation via energy rectification.arXiv e-prints, pages arXiv–2503, 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:45.385037Z

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Observation e360f206-834c-4e2f-8aa8-b0769b6e98af · outbound

This paper cites Sigmoid loss for language image pre-training.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Sigmoid loss for language image pre-training

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:45.469926Z

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Observation 641e34b9-709c-4dd2-97d9-b9196cbf27ad · outbound

This paper cites Semantic under- standing of scenes through the ade20k dataset.International Journal of Computer Vision, 127(3):302–321, 2019.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Semantic under- standing of scenes through the ade20k dataset.International Journal of Computer Vision, 127(3):302–321, 2019

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:45.542546Z

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Observation cfddd52d-7aed-4f11-8d38-f03e5e29158d · outbound

This paper cites A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling

Reference 55

Resolution: malformed identifier; no resolver link, observed 2026-08-03T08:13:45.640312Z

Source-reported events for the cited work

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Observation 6695577e-023e-43bc-b13d-89133eef64fb · outbound

This paper cites Best viewed zoomed in.

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders Best viewed zoomed in

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:45.726694Z

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