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Paper Citation Record · LEDGER

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion

As of 13 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 4 inbound Pith citation observations for arXiv:2412.09626.

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

pith.paper-citation-record.v1
2412.09626 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:55:27.941169Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:52:47.110773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:44:22.902454Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved39
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73bc98e9-9c86-4b92-83d8-c512a2924604 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 1

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Observation e451711a-63dc-48a2-83c3-50097d428712 · outbound

This paper cites MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Reference 2

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Observation cbd8dcf0-7413-441d-99b8-17c807b2919b · outbound

This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 3

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Observation c698c503-434b-42a2-9fc6-0504ffd736f1 · outbound

This paper cites Demystifying MMD GANs.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Demystifying MMD GANs

Reference 4

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Observation 8230b442-8afa-43e9-b32c-d7c8f99e93c6 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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Observation f6f85454-b282-4477-b77b-e3ed48e2fdd6 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 6

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Observation cf78f1d6-f875-491d-8ad5-71ebfdec4761 · outbound

This paper cites Ap-ldm: Attentive and progressive latent diffusion model for training-free high-resolution image generation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Ap-ldm: Attentive and progressive latent diffusion model for training-free high-resolution image generation

Reference 7

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Observation aba18fd5-42f7-4f0b-925e-555cab88eaff · outbound

This paper cites Any-resolution training for high- resolution image synthesis.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Any-resolution training for high- resolution image synthesis

Reference 8

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Source-reported events for the cited work

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Observation 90c56265-20d8-486d-ada8-23443de96a38 · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 9

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Observation f8128d8f-035c-42e6-9f29-c86df13ec544 · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024

Reference 10

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Observation fee5ca74-a42a-4754-b3d3-06139513d184 · outbound

This paper cites Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,

Reference 11

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Observation 93de6184-8e4b-4ddd-b8be-83debf8913ee · outbound

This paper cites Resadapter: Domain consistent resolution adapter for diffu- sion models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Resadapter: Domain consistent resolution adapter for diffu- sion models

Reference 12

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Observation 163b8a4d-7f6c-4b09-b4ca-35df5e280d3e · outbound

This paper cites Diffusion models beat gans on image synthesis.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Diffusion models beat gans on image synthesis

Reference 13

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Observation 73ac6adf-453b-458f-a925-48f7c7374e62 · outbound

This paper cites Demofusion: Democratising high- resolution image generation with no $$$.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Demofusion: Democratising high- resolution image generation with no $$$

Reference 14

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Source-reported events for the cited work

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Observation 55031174-c906-4f7b-8a48-12d3f26527c7 · outbound

This paper cites I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 15

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Observation 6f0d2e8a-f1a2-4338-94c5-d5d3654bfe43 · outbound

This paper cites Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation

Reference 16

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Observation 8af53980-7f94-4675-86a3-82f1b86dc938 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 17

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Observation fcdfda2c-3e6e-47e0-a5bc-83d0f06b5e6e · outbound

This paper cites Elasticdiffusion: Training-free arbitrary size image genera- tion through global-local content separation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Elasticdiffusion: Training-free arbitrary size image genera- tion through global-local content separation

Reference 18

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Observation eb6ca5d0-446d-4f12-a2b9-33c02d0e4fd4 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 19

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Observation f878333f-b94f-414e-a31e-7914f0130039 · outbound

This paper cites Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models

Reference 20

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Observation 7531a76b-bf9a-4c49-b796-5d097d174105 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 21

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Observation 743e731f-82d8-4d6c-a94b-57f521380618 · outbound

This paper cites Denoising diffu- sion probabilistic models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Denoising diffu- sion probabilistic models

Reference 22

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Observation 8c23f452-a7d5-440c-8ea9-d9af890dfbf3 · outbound

This paper cites Video dif- fusion models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Video dif- fusion models

Reference 23

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Observation 4cf7eb65-68f9-4624-a85d-dff382eaebc2 · outbound

This paper cites sim- ple diffusion: End-to-end diffusion for high resolution im- ages.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion sim- ple diffusion: End-to-end diffusion for high resolution im- ages

Reference 24

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Observation c9952c6f-90bc-4ef7-8da8-508de91ec542 · outbound

This paper cites FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis

Reference 25

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Observation f2d5bbd6-9850-4edc-8ab5-b270335e04c1 · outbound

This paper cites VBench: Comprehensive Benchmark Suite for Video Generative Models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion VBench: Comprehensive Benchmark Suite for Video Generative Models

Reference 26

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Observation 61403fe7-ea0b-4277-9320-8c899d0eea93 · outbound

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

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Upsample Guidance: Scale Up Diffusion Models without Training

Reference 27

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Observation 7ec7cd80-d716-42aa-b4b2-43db031b8411 · outbound

This paper cites Pyramidal flow matching for effi- cient video generative modeling.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Pyramidal flow matching for effi- cient video generative modeling

Reference 28

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Source-reported events for the cited work

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Observation 7325b781-fb90-430c-99f8-d8bb4fa9062b · outbound

This paper cites Training- free diffusion model adaptation for variable-sized text-to- image synthesis.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Training- free diffusion model adaptation for variable-sized text-to- image synthesis

Reference 29

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Source-reported events for the cited work

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Observation 64adfba2-3985-4d17-a62b-5892b2d04baf · outbound

This paper cites Beyondscene: Higher-resolution human-centric scene generation with pretrained diffusion.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Beyondscene: Higher-resolution human-centric scene generation with pretrained diffusion

Reference 30

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Source-reported events for the cited work

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Observation 61970d97-f8a7-4f47-a921-89e9cc8d8898 · outbound

This paper cites DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance

Reference 31

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Observation 2470c3b1-3178-49f0-b425-bc36c676c52d · outbound

This paper cites Segment any- thing.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Segment any- thing

Reference 32

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Observation deeddcc9-cc83-4e19-ba51-9bf9ee699010 · outbound

This paper cites Flux.1 : An advanced state-of-the-art generative deep learning model.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Flux.1 : An advanced state-of-the-art generative deep learning model

Reference 33

Resolution
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Source-reported events for the cited work

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Observation 3d630eaf-7c7a-44f8-9dae-bea93172d0b6 · outbound

This paper cites Syncdiffusion: Coherent montage via synchronized joint diffusions.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Syncdiffusion: Coherent montage via synchronized joint diffusions

Reference 34

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8f2bb769-2084-4ffb-991d-57da42b6272f · outbound

This paper cites CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method

Reference 35

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Observation 295b75da-a0d6-4c3f-89dd-9b376a0d06e2 · outbound

This paper cites AccDiffusion: An Accurate Method for Higher-Resolution Image Generation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion AccDiffusion: An Accurate Method for Higher-Resolution Image Generation

Reference 36

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Observation 89c5d6c6-6642-47d4-b2a6-2fd1edeb93c9 · outbound

This paper cites Linfusion: 1 gpu, 1 minute, 16k image.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Linfusion: 1 gpu, 1 minute, 16k image

Reference 37

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Observation 9e1ae7a2-c0b4-45ca-b687-1897f1f1f269 · outbound

This paper cites HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts

Reference 38

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Observation 0bd0d0bc-c16e-4e5e-aa40-f569cbffd874 · outbound

This paper cites Scalable diffusion models with transformers.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Scalable diffusion models with transformers

Reference 39

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Observation 02d692d2-1cf1-440c-b8da-d8084ee39993 · outbound

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

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 40

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Observation a2f4383d-8c15-4706-8302-13bddefe9a80 · outbound

This paper cites FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 41

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Observation a14edc2d-5759-4236-9aa1-d324724ec85f · outbound

This paper cites UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks

Reference 42

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Observation ff3a968c-f930-4267-a798-07117550776f · outbound

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

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion High-resolution image synthesis with latent diffusion models

Reference 43

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Observation 2d2af5b6-99d8-46ad-ac1f-588c395afdf2 · outbound

This paper cites Improved techniques for training gans.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Improved techniques for training gans

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 84f4bd71-b22a-4c29-a1bc-33ca43e25ecc · outbound

This paper cites Adversarial diffusion distillation.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Adversarial diffusion distillation

Reference 45

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Observation cf9fa83d-35c6-4868-b4df-3854c704203b · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 46

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Observation beba4bd1-d9b3-46f2-9faf-9a0cf0aea3dc · outbound

This paper cites Freeu: Free lunch in diffusion u-net.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Freeu: Free lunch in diffusion u-net

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 81ff0251-630f-4f8f-a7d4-74f5e3819304 · outbound

This paper cites Denoising Diffusion Implicit Models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Denoising Diffusion Implicit Models

Reference 48

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Observation ddae94bd-09c5-4d6b-95a7-ffcedd8d8b2e · outbound

This paper cites Relay Diffusion: Unifying diffusion process across resolutions for image synthesis.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Relay Diffusion: Unifying diffusion process across resolutions for image synthesis

Reference 49

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Observation 98d3ce2b-26fe-4fd8-a99b-725944f001f8 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 50

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Observation 684d97cd-7441-49f9-bfc6-ac0f44498cef · outbound

This paper cites Modelscope text-to-video technical report, 2023.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Modelscope text-to-video technical report, 2023

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:55:27.904919Z digest=sha256:fafa8852eacf0ae84708c4a6bfa1d063ea14d501d4113941c10faf744bbdc900

Observation 5b7ac625-f986-411d-b7fa-6ff22c6cd205 · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with 10 pure synthetic data.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Real-esrgan: Training real-world blind super-resolution with 10 pure synthetic data

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:55:27.909519Z digest=sha256:5f1a5de5e58bf801d7aa4f1f230df17dabf83831768a351c18f1a5293e0b740d

Observation 83ae12a7-97f8-4e69-920c-8a39dc8c1504 · outbound

This paper cites Videocomposer: Compositional video synthesis with motion controllability.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Videocomposer: Compositional video synthesis with motion controllability

Reference 53

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Observation 815eb7bd-22ce-4eaa-a5ee-022e7a28ab64 · outbound

This paper cites Dreamvideo: Composing your dream videos with customized subject and motion.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Dreamvideo: Composing your dream videos with customized subject and motion

Reference 54

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Observation 90ca717b-f248-4d81-9b1f-7aa309cb5225 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 55

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Observation 8bf62408-7cfe-41da-bf60-30c2cf32db2b · outbound

This paper cites Instructvideo: Instructing video dif- fusion models with human feedback.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Instructvideo: Instructing video dif- fusion models with human feedback

Reference 56

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:55:27.927554Z digest=sha256:800e344a4def75237de15853237c80358b689c191b73ca418a1488f4be44f736

Observation 7432a998-a8ce-457d-99ac-350faefccae1 · outbound

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

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Adding conditional control to text-to-image diffusion models

Reference 57

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Observation e138ac5f-886a-4480-832f-7ac8c6e73f02 · outbound

This paper cites Hidiffusion: Unlocking higher- resolution creativity and efficiency in pretrained diffusion models.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Hidiffusion: Unlocking higher- resolution creativity and efficiency in pretrained diffusion models

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:55:27.936730Z digest=sha256:a613a9a97f888a76a1a29ca2c2252feb500a35db1feac434b882e2bf4b6d5b8a

Observation b54bc688-6059-4bf5-b1cb-396c25ee28c6 · outbound

This paper cites FreeScale.

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion FreeScale

Reference 59

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:55:27.941169Z digest=sha256:166bb20be89a316de2aaba71833d19294cfa7eddca8fdfad3d61b04e52a5100b

Pith citing papers

Observation c36372e4-df27-4da9-a642-edcc550a85ea · inbound

CineScale: Free Lunch in High-Resolution Cinematic Visual Generation cites this paper.

CineScale: Free Lunch in High-Resolution Cinematic Visual Generation FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion

Reference 16

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Source-reported events for the cited work

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Observation 5a730638-37db-4bb4-bdff-dd35d5410d85 · inbound

NoiseShift: Resolution-Aware Noise Recalibration for Better Low-Resolution Image Generation cites this paper.

NoiseShift: Resolution-Aware Noise Recalibration for Better Low-Resolution Image Generation FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion

Reference 31

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arxiv_id, observed 2026-05-21T21:44:22.905078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 84494b1a-9ecc-4a22-bf2f-e3fc63f7f581 · inbound

UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention cites this paper.

UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion

Reference 13

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Observation 65305b97-7425-4e21-90ce-34a6ed6018d0 · inbound

HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models cites this paper.

HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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