MatchDiffusion: Training-free Generation of Match-cuts | Paper Citation Record

Observation 7c8bbd90-9bd3-4882-b830-7e6443d727fe · outbound

This paper cites What is a match cut?, n.d.

MatchDiffusion: Training-free Generation of Match-cuts What is a match cut?, n.d

Reference 1

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Observation 1cb85305-e0d6-4dfe-aa1f-1a00ac81827e · outbound

This paper cites TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation.

MatchDiffusion: Training-free Generation of Match-cuts TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation

Reference 2

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Observation 53844a28-1ea9-40e3-81ab-6fa1467c4ec7 · outbound

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

MatchDiffusion: Training-free Generation of Match-cuts Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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Observation 5670fb8c-11c7-4ba0-b809-ffddc12ce3e3 · outbound

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

MatchDiffusion: Training-free Generation of Match-cuts Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

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Observation cf154841-c4a0-472e-8b5b-c94adb6f2759 · outbound

This paper cites Diffusion illusions: Hiding images in plain sight.

MatchDiffusion: Training-free Generation of Match-cuts Diffusion illusions: Hiding images in plain sight

Reference 5

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Observation 5a663ab1-8dae-4b91-ad08-f9833c568a6c · outbound

This paper cites Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models.

MatchDiffusion: Training-free Generation of Match-cuts Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models

Reference 6

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Observation 5f47b191-b634-499d-8b71-222d2a0e17af · outbound

This paper cites Match cutting: Finding cuts with smooth visual transitions.

MatchDiffusion: Training-free Generation of Match-cuts Match cutting: Finding cuts with smooth visual transitions

Reference 7

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Observation 5270cac2-31b2-477b-8eb9-105ca92770dd · outbound

This paper cites Medm: Mediating image diffusion models for video- to-video translation with temporal correspondence guidance.

MatchDiffusion: Training-free Generation of Match-cuts Medm: Mediating image diffusion models for video- to-video translation with temporal correspondence guidance

Reference 8

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Observation 314e0e35-d698-4931-b257-2e2bec5b96af · outbound

This paper cites Dragvideo: Interactive drag-style video editing.

MatchDiffusion: Training-free Generation of Match-cuts Dragvideo: Interactive drag-style video editing

Reference 9

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Observation 5c6ed182-ce2b-4797-84f1-869b60abe3c2 · outbound

This paper cites Audio match cutting: Finding and creating matching audio transitions in movies and videos.

MatchDiffusion: Training-free Generation of Match-cuts Audio match cutting: Finding and creating matching audio transitions in movies and videos

Reference 10

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Observation a7e9cede-2bc2-4f16-aae4-3b1103d24541 · outbound

This paper cites Factorized diffusion: Perceptual illusions by noise decomposition.

MatchDiffusion: Training-free Generation of Match-cuts Factorized diffusion: Perceptual illusions by noise decomposition

Reference 11

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Observation 6736f6bc-60c1-42e8-8e51-dee009b981ca · outbound

This paper cites Visual ana- grams: Generating multi-view optical illusions with diffu- sion models.

MatchDiffusion: Training-free Generation of Match-cuts Visual ana- grams: Generating multi-view optical illusions with diffu- sion models

Reference 12

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Observation 6dfa01be-ae29-46ea-be0d-83efdd9ac169 · outbound

This paper cites Tokenflow: Consistent diffusion features for consistent video editing.

MatchDiffusion: Training-free Generation of Match-cuts Tokenflow: Consistent diffusion features for consistent video editing

Reference 13

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Observation 8b1f08c1-4969-4d75-b1b9-cb6726529c5d · outbound

This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.

MatchDiffusion: Training-free Generation of Match-cuts StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Reference 14

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Observation 1a017981-0f0f-4d8e-ba03-99ae3e2c25fd · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.

MatchDiffusion: Training-free Generation of Match-cuts Clipscore: A reference-free evaluation met- ric for image captioning

Reference 15

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Observation c3ccca16-bda3-40f0-b77a-173bf1d55cff · outbound

This paper cites Denoising diffu- sion probabilistic models.

MatchDiffusion: Training-free Generation of Match-cuts Denoising diffu- sion probabilistic models

Reference 16

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Observation fc01609c-49c4-4d72-afef-60ad28824e3c · outbound

This paper cites CoTracker: It is Better to Track Together.

MatchDiffusion: Training-free Generation of Match-cuts CoTracker: It is Better to Track Together

Reference 17

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Observation 041c8cb5-5948-41b6-92b4-53d03a9b89be · outbound

This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.

MatchDiffusion: Training-free Generation of Match-cuts Text2video-zero: Text- to-image diffusion models are zero-shot video generators

Reference 18

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Observation 1cbd84cc-826b-4e77-8380-1eea3ce856e5 · outbound

This paper cites Computational video editing for dialogue-driven scenes.

MatchDiffusion: Training-free Generation of Match-cuts Computational video editing for dialogue-driven scenes

Reference 19

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Observation ac142f39-6666-4ec2-8aad-65a79b59f395 · outbound

This paper cites Looking Backward: Streaming Video-to-Video Translation with Feature Banks.

MatchDiffusion: Training-free Generation of Match-cuts Looking Backward: Streaming Video-to-Video Translation with Feature Banks

Reference 20

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Observation 17148ffe-863c-4b45-822c-79d13efd6e26 · outbound

This paper cites A technique for the measurement of attitudes.

MatchDiffusion: Training-free Generation of Match-cuts A technique for the measurement of attitudes

Reference 21

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Observation 59609b3c-c267-4d92-b4e4-f00806ae451e · outbound

This paper cites VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning.

MatchDiffusion: Training-free Generation of Match-cuts VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:05:09.706086Z

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Observation 51b1ce3d-9902-47a0-ae11-6b47843155d3 · outbound

This paper cites Common diffusion noise schedules and sample steps are flawed.

MatchDiffusion: Training-free Generation of Match-cuts Common diffusion noise schedules and sample steps are flawed

Reference 23

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Observation 31fed2f9-05b2-41f8-9522-db692ced28d6 · outbound

This paper cites Microsoft coco: Common objects in context.

MatchDiffusion: Training-free Generation of Match-cuts Microsoft coco: Common objects in context

Reference 24

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Observation 1235c9e8-c10f-49a1-a351-05bdb0fb5a92 · outbound

This paper cites Physgen: Rigid-body physics-grounded image- to-video generation.

MatchDiffusion: Training-free Generation of Match-cuts Physgen: Rigid-body physics-grounded image- to-video generation

Reference 25

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Observation effdf205-7c43-4184-82f2-04d7093bd5a5 · outbound

This paper cites VideoStudio: Generating Consistent-Content and Multi-Scene Videos.

MatchDiffusion: Training-free Generation of Match-cuts VideoStudio: Generating Consistent-Content and Multi-Scene Videos

Reference 26

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Observation 7944f969-16bd-4e34-af1e-23a3eee509d6 · outbound

This paper cites Snap video: Scaled spatiotemporal transformers for text-to-video synthesis.

MatchDiffusion: Training-free Generation of Match-cuts Snap video: Scaled spatiotemporal transformers for text-to-video synthesis

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T11:05:09.726443Z

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Observation 3a615ee1-e52a-4e54-a428-22bf9218c4cc · outbound

This paper cites Sdedit: Guided image synthesis and editing with stochastic differential equa- tions.

MatchDiffusion: Training-free Generation of Match-cuts Sdedit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:10.283069Z

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Observation 3e93d14f-cba7-4fb0-801a-fbce733e911f · outbound

This paper cites In the Blink of an Eye.

MatchDiffusion: Training-free Generation of Match-cuts In the Blink of an Eye

Reference 29

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Observation 32878a99-c477-4bb9-8b24-cdb994244af4 · outbound

This paper cites Conditional image-to-video gener- ation with latent flow diffusion models.

MatchDiffusion: Training-free Generation of Match-cuts Conditional image-to-video gener- ation with latent flow diffusion models

Reference 30

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Observation a31a2a52-6a32-4afd-84b2-9cd0910768dc · outbound

This paper cites How to use match cuts to tell stories, n.d.

MatchDiffusion: Training-free Generation of Match-cuts How to use match cuts to tell stories, n.d

Reference 31

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Observation a9d7a198-ec53-467d-af6e-9a913f09f19a · outbound

This paper cites Learning to cut by watch- ing movies.

MatchDiffusion: Training-free Generation of Match-cuts Learning to cut by watch- ing movies

Reference 32

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Observation efd35951-bd29-421d-b999-ef3ba5dbcde0 · outbound

This paper cites Moviecuts: A new dataset and benchmark for cut type recognition.

MatchDiffusion: Training-free Generation of Match-cuts Moviecuts: A new dataset and benchmark for cut type recognition

Reference 33

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Observation e164a632-6b4c-44e6-b984-d2191baeda9f · outbound

This paper cites AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing.

MatchDiffusion: Training-free Generation of Match-cuts AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing

Reference 34

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Observation cc135978-c893-4b7e-869c-0d6a379af370 · outbound

This paper cites My favourite match cut, n.d.

MatchDiffusion: Training-free Generation of Match-cuts My favourite match cut, n.d

Reference 35

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This paper cites Boosting diffusion models with moving average sampling in frequency domain.

MatchDiffusion: Training-free Generation of Match-cuts Boosting diffusion models with moving average sampling in frequency domain

Reference 36

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Observation c699f6f2-6640-416b-9230-0ff9f47d0155 · outbound

This paper cites Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis.

MatchDiffusion: Training-free Generation of Match-cuts Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis

Reference 37

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This paper cites Consisti2v: Enhancing visual consistency for image-to-video generation.

MatchDiffusion: Training-free Generation of Match-cuts Consisti2v: Enhancing visual consistency for image-to-video generation

Reference 38

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Observation 4de08769-a99c-4e31-8a2a-89155bb435e1 · outbound

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

MatchDiffusion: Training-free Generation of Match-cuts High-resolution image synthesis with latent diffusion models

Reference 39

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Observation 45ea90e8-9ad8-4a88-a4cf-fbaed0419a1e · outbound

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

MatchDiffusion: Training-free Generation of Match-cuts High-resolution image syn- thesis with latent diffusion models

Reference 40

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This paper cites Autotran- sition: Learning to recommend video transition effects.

MatchDiffusion: Training-free Generation of Match-cuts Autotran- sition: Learning to recommend video transition effects

Reference 41

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Observation 927c4d3b-ff4f-40e5-8380-250bf5406dc6 · outbound

This paper cites Denoising Diffusion Implicit Models.

MatchDiffusion: Training-free Generation of Match-cuts Denoising Diffusion Implicit Models

Reference 42

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This paper cites Match cuts: Creative transitions examples, n.d.

MatchDiffusion: Training-free Generation of Match-cuts Match cuts: Creative transitions examples, n.d

Reference 43

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Observation cbe3679c-1483-413f-99aa-73abacd4c6b7 · outbound

This paper cites Types of match cuts, examples, and how to use them, n.d.

MatchDiffusion: Training-free Generation of Match-cuts Types of match cuts, examples, and how to use them, n.d

Reference 44

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This paper cites ModelScope Text-to-Video Technical Report.

MatchDiffusion: Training-free Generation of Match-cuts ModelScope Text-to-Video Technical Report

Reference 45

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Observation c66e2d55-330c-42c7-90d2-3c4113fb978e · outbound

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

MatchDiffusion: Training-free Generation of Match-cuts Image quality assessment: from error visibility to structural similarity

Reference 46

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Observation 42156034-c0ea-4e4d-b112-c52f4cee4fa3 · outbound

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

MatchDiffusion: Training-free Generation of Match-cuts Video Diffusion Models are Training-free Motion Interpreter and Controller

Reference 47

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Observation 5d714fac-c052-4830-8f24-fdecd25dc27e · outbound

This paper cites DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework.

MatchDiffusion: Training-free Generation of Match-cuts DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework

Reference 48

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Observation f358bd0f-8b32-4d96-9e49-d17ec3bb0ca5 · outbound

This paper cites Rerender a video: Zero-shot text-guided video-to-video translation.

MatchDiffusion: Training-free Generation of Match-cuts Rerender a video: Zero-shot text-guided video-to-video translation

Reference 49

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Observation 8d20adc3-f50a-4fa9-a23f-e45fec845e8b · outbound

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

MatchDiffusion: Training-free Generation of Match-cuts CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 50

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Observation 98360e7d-bc23-40ad-b189-67ad0c61e297 · outbound

This paper cites Space-time diffusion features for zero-shot text-driven motion transfer.

MatchDiffusion: Training-free Generation of Match-cuts Space-time diffusion features for zero-shot text-driven motion transfer

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:10.092517Z

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Observation d2f6526f-e1cd-4e5e-87f9-f77c4bfde8c0 · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

MatchDiffusion: Training-free Generation of Match-cuts DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 52

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Observation 2ee73fcf-8d43-457c-ac5f-b6a5f7516530 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

MatchDiffusion: Training-free Generation of Match-cuts The unreasonable effectiveness of deep features as a perceptual metric

Reference 53

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Observation ef36b304-0c85-4b1d-9d7d-e12269632e0d · outbound

This paper cites a bone-like fossil thrown to the sky.

MatchDiffusion: Training-free Generation of Match-cuts a bone-like fossil thrown to the sky

Reference 54

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