FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis | Paper Citation Record

Observation a11fa32e-36e0-453d-a554-2a4256fdbcf4 · outbound

This paper cites Learning Spatial-Temporal Regularized Tensor Sparse RPCA for Background Subtraction.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Learning Spatial-Temporal Regularized Tensor Sparse RPCA for Background Subtraction

Reference 1

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Observation 87a34111-fb8e-42d8-9531-687dbd37b1f6 · outbound

This paper cites Canny edge detec- tion enhancement by scale multiplication.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Canny edge detec- tion enhancement by scale multiplication

Reference 2

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Observation 55f0c6ae-aa92-48ec-bb2e-a46513bc3977 · outbound

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

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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Observation eea2f389-3913-466f-8f4e-2af242237b01 · outbound

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

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

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Observation 582527d6-0480-4bcc-b2bd-cfbdcde4ee5b · outbound

This paper cites Generating long videos of dynamic scenes.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Generating long videos of dynamic scenes

Reference 5

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Observation 01ac3904-1400-48ec-8ddf-efa89d155e44 · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 6

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Observation 15a6e51a-2c1c-406d-9eb9-cd94de6bb45b · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models

Reference 7

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Observation 83318ab9-fc44-4a61-b7bc-a7cb61224d1d · outbound

This paper cites Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices

Reference 8

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Observation fecc0205-1bd4-4324-ba68-553556bc65f2 · outbound

This paper cites Irc- gan: Introspective recurrent convolutional gan for text-to- video generation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Irc- gan: Introspective recurrent convolutional gan for text-to- video generation

Reference 9

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Observation 873b7467-d4f5-4418-9749-2a821ff37760 · outbound

This paper cites Block- sparse rpca for salient motion detection.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Block- sparse rpca for salient motion detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:32.311640Z

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Observation 97757caf-2b95-43e6-b7fe-1e16c4f92e37 · outbound

This paper cites Robust low-rank tensor recovery: Models and algorithms.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Robust low-rank tensor recovery: Models and algorithms

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:32.171812Z

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Observation 0c9255a3-bd53-41e7-ace8-05965ec035b3 · outbound

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

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 12

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Observation 95d7a3d8-1535-4d8b-8555-bd6022d29e9c · outbound

This paper cites Sparsectrl: Adding sparse controls to text-to-video diffusion models.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Sparsectrl: Adding sparse controls to text-to-video diffusion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:32.082319Z

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Observation d90a7600-4e3a-4221-af96-d1f0b448eab3 · outbound

This paper cites Flexible diffusion modeling of long videos.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Flexible diffusion modeling of long videos

Reference 14

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Observation 6f92dc56-c7da-407f-9daa-b66e0173b938 · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 15

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Observation 97782f42-1afc-4560-998c-4a3087980a38 · outbound

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

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 16

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Observation 05ff2f7b-d563-42a9-a925-faed0c07d099 · outbound

This paper cites Denoising diffu- sion probabilistic models.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Denoising diffu- sion probabilistic models

Reference 17

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Observation 40805413-eb10-4e9a-8e74-e919206e2a5b · outbound

This paper cites Video dif- fusion models.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Video dif- fusion models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:32.046363Z

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Observation 133ce95e-adef-4b5c-b862-700ab7085277 · outbound

This paper cites Image quality metrics: Psnr vs.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Image quality metrics: Psnr vs

Reference 19

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Observation 3e11ed5a-a513-4425-b735-ad83a06aae6b · outbound

This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Vbench: Comprehensive bench- mark suite for video generative models

Reference 20

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Observation 619889db-9c09-464b-ac7b-3579c952808a · outbound

This paper cites Structural and statistical texture knowledge distillation for semantic segmentation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Structural and statistical texture knowledge distillation for semantic segmentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:31.988061Z

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Observation 48195aa0-d763-4396-9345-3b670c87fbf2 · outbound

This paper cites Ultra-high resolution segmentation with ultra-rich con- text: A novel benchmark.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Ultra-high resolution segmentation with ultra-rich con- text: A novel benchmark

Reference 22

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Observation da55e74a-7862-4e0b-b8e1-3016c18f8848 · outbound

This paper cites Ppt- former: Pseudo multi-perspective transformer for uav seg- mentation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Ppt- former: Pseudo multi-perspective transformer for uav seg- mentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:31.949456Z

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Observation 9587f79c-5463-4e60-92a1-110dc2d4ec35 · outbound

This paper cites Discrete latent perspective learning for seg- mentation and detection.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Discrete latent perspective learning for seg- mentation and detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:31.901861Z

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Observation ac874365-7cdc-4eef-af60-dabc77a24377 · outbound

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

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Training- free diffusion model adaptation for variable-sized text-to- image synthesis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:31.880683Z

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Observation 4ee8316a-40d2-4d4b-93c7-8514f45252f1 · outbound

This paper cites FIFO-Diffusion: Generating Infinite Videos from Text without Training.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis FIFO-Diffusion: Generating Infinite Videos from Text without Training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:30.976361Z

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Observation e13fdab7-32bf-48ab-8cfe-571140d2b65d · outbound

This paper cites Video-p2p: Video editing with cross-attention control.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Video-p2p: Video editing with cross-attention control

Reference 27

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Observation 3ff1e0bc-0c62-48e0-b4fc-965c1d0f6c14 · outbound

This paper cites FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention

Reference 28

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Observation 95028e4e-0256-4425-8eea-08cf383ed246 · outbound

This paper cites Sync-draw: Automatic video generation using deep recurrent attentive architectures.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Sync-draw: Automatic video generation using deep recurrent attentive architectures

Reference 29

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Observation 40609ec9-5240-4a1f-9bcb-c05c3a04971f · outbound

This paper cites To create what you tell: Generating videos from cap- tions.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis To create what you tell: Generating videos from cap- tions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:31.839869Z

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Observation 3c8dd89e-6282-4c56-be4e-67f64a553875 · outbound

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

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 31

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Observation 03f33d0b-c775-4c46-9968-e8582647c976 · outbound

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

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis High-resolution image synthesis with latent diffusion models

Reference 32

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Observation 85c8ea98-1bf4-4fce-af76-6d58b12bb488 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 33

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Observation 11a30b41-4b7a-4802-bbf4-a75e44c889e3 · outbound

This paper cites Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2

Reference 34

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Observation f2dcb272-1422-4a81-9e19-39dcdb3eebad · outbound

This paper cites Consistent view synthe- sis with pose-guided diffusion models.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Consistent view synthe- sis with pose-guided diffusion models

Reference 35

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Observation 613ecaa9-a56a-498c-bd3a-eea77dd0e79e · outbound

This paper cites Neural Discrete Representation Learning.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Neural Discrete Representation Learning

Reference 36

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Observation 5569478c-4403-46ca-84b0-4cb662975bf5 · outbound

This paper cites Mcvd-masked conditional video diffusion for prediction, generation, and interpolation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Mcvd-masked conditional video diffusion for prediction, generation, and interpolation

Reference 37

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Observation 2ff4c7d0-8da1-44f5-ab23-911eadd90650 · outbound

This paper cites Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Reference 38

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Observation bc0addda-1b6e-4d61-abfd-b99e86f415b3 · outbound

This paper cites VideoComposer: Compositional Video Synthesis with Motion Controllability.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis VideoComposer: Compositional Video Synthesis with Motion Controllability

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Observation 0db5f2bb-f7f8-407c-bc8c-fcc6e3859735 · outbound

This paper cites LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Reference 40

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Observation 1e78e862-73ee-47db-a55e-1b982a23ed39 · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

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Observation d1c15429-a0e7-43be-815d-a855936cc114 · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:29:31.740462Z

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Observation c644d249-77f9-4ae8-80b1-2ab18834e6e9 · outbound

This paper cites Video Diffusion Models are Training-free Motion Interpreter and Controller.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Video Diffusion Models are Training-free Motion Interpreter and Controller

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Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:31.073173Z

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Observation 956dd866-0f3e-4305-ba0d-bc573095de1b · outbound

This paper cites NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Reference 44

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Observation fc6502ce-94ac-4882-8424-56ebb81f27a4 · outbound

This paper cites Make pixels dance: High- dynamic video generation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Make pixels dance: High- dynamic video generation

Reference 45

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Observation 640d30e3-cc52-4dc7-92aa-474ad33c1a96 · outbound

This paper cites Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

Reference 46

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Observation be595be0-4e5c-44c4-a62f-ca8c1414aaa2 · outbound

This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis MagicVideo: Efficient Video Generation With Latent Diffusion Models

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Observation b8796423-a0bf-41cf-9603-56da10b31fd9 · outbound

This paper cites StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.

FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Reference 48

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