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Paper Citation Record · LEDGER

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics

As of 9 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2607.03732.

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

pith.paper-citation-record.v1
2607.03732 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T00:20:07.678576Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

69 of 69 outbound references displayed

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  • unresolved69
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Outbound references

Observation fd8b637b-8427-4448-a3a5-fb994b2897fe · outbound

This paper cites Recammaster: Camera-controlled generative rendering from a single video.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Recammaster: Camera-controlled generative rendering from a single video

Reference 1

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:887c5a2de0be93a7f6da0d29c6c2054cc416da29ffa8c1ae678d7ec8bc0828c6

Observation 12a18ca6-f87f-495e-b428-69d7e10c5ab6 · outbound

This paper cites Syncammaster: Synchronizing multi-camera video generation from diverse viewpoints.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Syncammaster: Synchronizing multi-camera video generation from diverse viewpoints

Reference 2

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:fb84c69ff8471a876921b01f3da888cc785a826bca21d4148bc5224b4a9ea760

Observation 3a222a54-281a-455a-a8ee-a5af31ae5411 · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:bd422bb748b80604053da89fe92e5d97b3d3cb671ab791b6fd12008ba3c11b3f

Observation 314f3c41-297f-45e7-9ef5-2d01f11ebd6a · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Align your latents: High-resolution video synthesis with latent diffusion models

Reference 4

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:f2d522bf3779146f1f18954315629f8d8d591ad7935e6f5712283ccb2ccfad20

Observation 378ae616-9050-4513-b137-a53892aff550 · outbound

This paper cites Video generation models as world simulators.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Video generation models as world simulators

Reference 5

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:f4a7eafe2db911227d9eb7f547c097ceaa6e2fd4457e9276accb60adafb07af6

Observation 1314f55f-35e2-4997-b33f-25846836c328 · outbound

This paper cites Uni3c: Unifying precisely 3d-enhanced camera and human motion controls for video generation.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Uni3c: Unifying precisely 3d-enhanced camera and human motion controls for video generation

Reference 6

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:fca1775fde8bdf6a50585d47df80998d067a28174ad1873b72efb211e1fe4128

Observation 86b37901-ddd1-404e-850c-60fe9a6b53c2 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics SAM 3: Segment Anything with Concepts

Reference 7

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:6d2b349e888b5c14d7d927cfa8aa741b9632d0bc628eb835bbdaaa03319f8fcc

Observation 3a66d623-d32a-479f-8875-603db3510795 · outbound

This paper cites Pix2video: Video editing using image diffusion.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Pix2video: Video editing using image diffusion

Reference 8

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:65527ef53732b699113c7d9e9f4129e4101c26fe71ca3fa3fe89862194104afa

Observation 691f867b-2aa5-432a-9501-b1c5cc363246 · outbound

This paper cites Everybody dance now.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Everybody dance now

Reference 9

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Observation b8824b7b-8171-458a-8764-21fe31dd8414 · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 10

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Observation b4e447db-5098-4f67-821a-ffa928fca6d2 · outbound

This paper cites Control-a-video: Controllable text-to-video diffusion models with motion prior and reward feedback learning.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Control-a-video: Controllable text-to-video diffusion models with motion prior and reward feedback learning

Reference 11

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:9ea34aec96f38b40d6172f193de9014ea2c1b506c4b106d0bbcd2c5378459959

Observation 15fd7550-3ea3-4a38-8bda-968f023dc361 · outbound

This paper cites Contextflow: Training-free video object editing via adaptive context enrichment.arXiv preprint arXiv:2509.17818, 2025.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Contextflow: Training-free video object editing via adaptive context enrichment.arXiv preprint arXiv:2509.17818, 2025

Reference 12

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:be0371ea022fa9b4ec0c74ae4b44b8786abc2dd95a7d15da185a02c602cc2e3b

Observation 59356fea-8d70-42aa-a30c-0fb943475787 · outbound

This paper cites FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing

Reference 13

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:58fd14e30d3059f97f379d0c9f55edd69c09e65a7ceaa39a1c4d5daae019aaf8

Observation 464394d9-9b16-46e8-b7c6-297ded0f160b · outbound

This paper cites Scaling rectified flow transform- ers for high-resolution image synthesis.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Scaling rectified flow transform- ers for high-resolution image synthesis

Reference 14

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Observation d7df88e3-87e2-49f3-9acd-347846e31961 · outbound

This paper cites TokenFlow: Consistent Diffusion Features for Consistent Video Editing.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics TokenFlow: Consistent Diffusion Features for Consistent Video Editing

Reference 15

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Observation 009a454b-fab9-4578-811b-8ece647c50c4 · outbound

This paper cites Videoswap: Customized video subject swapping with interactive semantic point correspondence.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Videoswap: Customized video subject swapping with interactive semantic point correspondence

Reference 16

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Observation 01e272f7-979d-427f-8981-2d6a525d56b2 · outbound

This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 17

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Observation d0d6d2f4-debb-451c-bc8c-c627a18071ff · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 18

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Observation c573e014-ed88-4851-8ca7-3d80c6809ece · outbound

This paper cites an unresolved cited work.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Unresolved cited work

Reference 19

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Observation faad6ad0-45c9-492c-8323-5485359b3e68 · outbound

This paper cites Classifier-Free Diffusion Guidance.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Classifier-Free Diffusion Guidance

Reference 20

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:14bd48c18b0bf7d14e2a632530b9570c451864ef0a97b81553a53f1e54544779

Observation 1476997a-31c7-4ae6-a894-3e8890208fdf · outbound

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ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Unresolved cited work

Reference 21

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:616f1484a3d0105246ea8b703366b464e6ddd999718366d72241724ecf4c1da7

Observation cacdf6a5-9209-4cd9-b4e5-31b961b03388 · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 22

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:c9285ad1dd7649b4e5895f5764d0eba51f33a19f43d93aa2d030739c5922e998

Observation 61537e8e-e366-47d9-9ff8-782f7e0629f1 · outbound

This paper cites VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet

Reference 23

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Observation 3eaf7651-354b-438f-8ca7-ddb4f69a8e9f · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics VBench: Comprehensive benchmark suite for video generative models

Reference 24

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Observation 0fb3863f-197e-4a0a-b993-6be7eac19c40 · outbound

This paper cites VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics VBench++: Comprehensive and versatile benchmark suite for video generative models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 25

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:97895b9e1ac9e4b31e45f26ba7f5e04b7495c221d0386591089fc8e2c92c97e7

Observation 2682e5a1-23aa-405d-9b0d-28f7bca5023c · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 26

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:ab8833c912ba892dd231524f8bd6b9784ece141928239628640935fe193b092c

Observation da85769d-2e33-475d-a19e-54c7f173d08b · outbound

This paper cites Vace: All-in- one video creation and editing.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Vace: All-in- one video creation and editing

Reference 27

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:e14d293ccdc6a0cd35cbe7d82a4aada5b77e73cdea9e0e98ef1363016036cc57

Observation 830300b6-6d4d-48d7-83bf-b061ee603aae · outbound

This paper cites Rave: Randomized noise shuffling for fast and consistent video editing with diffusion models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Rave: Randomized noise shuffling for fast and consistent video editing with diffusion models

Reference 28

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:807bcbda2193bdeb9d039a54fd220128c90481e4f8f51affcf79a3ebf7e851ec

Observation 3a7c597b-f6de-4ed6-9192-0f93effe2025 · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Text2video-zero: Text-to-image diffusion models are zero-shot video generators

Reference 29

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:f70e29de933c7d061de2e932ec2bc7badd5e1c8aeeaae834f768744b9b1580f6

Observation ea642c03-7030-4d19-bcec-7a22bb36391e · outbound

This paper cites TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation

Reference 30

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:82ae83029b7e6cdb2c77371e5cabc1661eff6df96f7cf6d04c047caeca59b057

Observation fc98fd43-296d-4c8e-8bc7-ce85bd9b38ea · outbound

This paper cites Target-aware video diffusion models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Target-aware video diffusion models

Reference 31

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:af555c52a3beec39fcb66b07f8b6852e426d3480b667de4c899c95e3aef7bd1c

Observation a08f88ea-b43b-43bb-a119-80b9c371c228 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 32

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Observation d9d8ebe5-4d70-4ea8-9942-0f7e1efb89c5 · outbound

This paper cites Flowedit: Inversion-free text-based editing using pre-trained flow models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Flowedit: Inversion-free text-based editing using pre-trained flow models

Reference 33

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:16322631846efeb3fa73a3a0610d097ae9a3ae2de8c86d85847f94670861e524

Observation da60bc29-4f89-4a1a-864a-ae7c3faca46d · outbound

This paper cites Flowdirector: Training-free flow steering for precise text-to-video editing.arXiv preprint arXiv:2506.05046, 2025.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Flowdirector: Training-free flow steering for precise text-to-video editing.arXiv preprint arXiv:2506.05046, 2025

Reference 34

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:8f34a976b960cc6bfbcc328ad3610e6d0b56480f7b8aa6596736345b140c5a1e

Observation 72061261-d17f-457b-a42d-a95d727a42ce · outbound

This paper cites Trackdiffusion: Tracklet-conditioned video generation via diffusion models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Trackdiffusion: Tracklet-conditioned video generation via diffusion models

Reference 35

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Observation b769454e-407e-4fe8-8e60-148706630b7d · outbound

This paper cites Towards an end-to- end framework for flow-guided video inpainting.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Towards an end-to- end framework for flow-guided video inpainting

Reference 36

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Observation e89717ca-1606-4bc7-aa75-2b91143254c6 · outbound

This paper cites Lipman, Ricky T.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Lipman, Ricky T

Reference 37

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Observation dd913e53-ecda-4496-8e36-df72a580a213 · outbound

This paper cites Fuseformer: Fusing fine-grained information in transformers for video inpainting.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Fuseformer: Fusing fine-grained information in transformers for video inpainting

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Observation c752f37a-7b36-4bff-8ffd-a1fc94fb2667 · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Video-p2p: Video editing with cross-attention control

Reference 39

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Observation 2b96fb31-e21a-4b11-9bb6-3f1173a10051 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 40

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Observation bbe68898-f137-421f-be97-fc367d188095 · outbound

This paper cites Follow your pose: Pose-guided text-to-video generation using pose-free videos.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Follow your pose: Pose-guided text-to-video generation using pose-free videos

Reference 41

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:1f3911572a196b3750ce8eb93d70f127cbb6b1ccf2af7b7252942f2bc0461659

Observation c18fcc80-8473-4e88-af08-89c8710ff58d · outbound

This paper cites Sdedit: Guided image synthesis and editing with stochastic differential equations.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Sdedit: Guided image synthesis and editing with stochastic differential equations

Reference 42

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Observation 6a0244f1-6d41-4956-aedb-7c697010a090 · outbound

This paper cites Motionflow: Attention-driven motion transfer in video diffusion models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Motionflow: Attention-driven motion transfer in video diffusion models

Reference 43

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:3780f3de63f10504c3ac8b0a9cdaaeba305e6a3c9ebf5b0a996796298ee9e98f

Observation 27340133-435a-448d-9386-8b228a0e8c71 · outbound

This paper cites Dreamix: Video Diffusion Models are General Video Editors.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Dreamix: Video Diffusion Models are General Video Editors

Reference 44

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:866a0ba342ecee5e2a079625aab651e30d743a8b79f9739f77efc66d40ec96ab

Observation 016deb82-3649-4847-b1e0-fa4dc08ef3f7 · outbound

This paper cites Optical-flow guided prompt opti- mization for coherent video generation.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Optical-flow guided prompt opti- mization for coherent video generation

Reference 45

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:1e6dfd24ae7ea64c34cd469f8f191d265cfffed62fe2323ad1991c9a6b864582

Observation 046063f6-dcc6-4ab0-ad37-5ce80536946a · outbound

This paper cites I2vedit: First-frame-guided video editing via image-to-video diffusion models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics I2vedit: First-frame-guided video editing via image-to-video diffusion models

Reference 46

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:15e9498d0eb155fa292cfb5e193d1bf42c587740ba1263f387371da9100be535

Observation c5b66a13-1101-4ba9-b80e-ac15094bf825 · outbound

This paper cites Blattmann, Tim Dockhorn, Jonas Muller, Joe Penna, and Robin Rombach.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Blattmann, Tim Dockhorn, Jonas Muller, Joe Penna, and Robin Rombach

Reference 47

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:0a5484fcc6f0ca2fc0c492b3653a221e3d1cc22f51988c2cc430300aee93c87b

Observation b81b3454-12f8-4ce3-a4c4-1cf37cf8d2f9 · outbound

This paper cites Video motion transfer with diffusion transformers.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Video motion transfer with diffusion transformers

Reference 48

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:2aef2c6ecce269decff07b984898a52108a6043ff0340e932173473f8f0d6f56

Observation 4eeb650e-b1d2-48b7-bff6-6f1ded25f914 · outbound

This paper cites Fatezero: Fusing attentions for zero-shot text-based video editing.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Fatezero: Fusing attentions for zero-shot text-based video editing

Reference 49

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:6354c4b25ba5db4f6b89e289ed2d9c40584a8fe26945aeef19ae708b39312249

Observation 14b19eee-9030-4764-930a-88e358809879 · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and B.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Blattmann, Dominik Lorenz, Patrick Esser, and B

Reference 50

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:60da61afe56ab24a2996c8f09411c468a5b252096d5f7d30d8d9fc1e55c10884

Observation d2c390c7-41c7-4f87-930e-b4556311b5f4 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Photorealistic text-to-image diffusion models with deep language understanding

Reference 51

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:b1eec5e451007a6db9db6fa734de393fc858b7f38956402977e8184cdb6dcc9c

Observation 5e80a598-1103-4e8c-b5a3-beed7188c83c · outbound

This paper cites First order motion model for image animation.Advances in neural information processing systems, 32, 2019.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics First order motion model for image animation.Advances in neural information processing systems, 32, 2019

Reference 52

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:b7d7771dea39ce2a22f6367abd5466925f88b5266bd60d61f69fd2aa8b31b44d

Observation eb0612f2-426b-400b-b080-486915b8d748 · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Make-a-video: Text-to-video generation without text-video data

Reference 53

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:bb3e32d905c80abb7aabfd80a51508879a580309ef008c9a2fbf2176bc86d11b

Observation bb2151e9-e1ea-4317-bb8b-703ad46d5270 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Score-based generative modeling through stochastic differential equations

Reference 54

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:ce9c2086b927c1b0a2a8a3f78c761af72536828ad7c20085cac2357befc62db8

Observation db7d340a-97d5-4197-a84e-b9726f89f0aa · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Wan: Open and Advanced Large-Scale Video Generative Models

Reference 55

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:c336c6de11e1ba7354110137c9e5386a26d1037f9a535d2fb6d7e250d4a72013

Observation d36201ad-4760-47d7-a5e7-4f98b599fcb5 · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics ModelScope Text-to-Video Technical Report

Reference 56

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:118e0b49ef339893620d1369fe7fdcc7d8b7c478dd9749d92c26e6aee8ec2422

Observation a68d882a-d7fe-460c-a35e-3ba96aa598f5 · outbound

This paper cites MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation

Reference 57

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:da1afb3609213ee42f2267f8dba7b085c5a69198d8daa970e8cde85cf71e5726

Observation 4441d9a9-e3a1-4dce-a925-beb12575e235 · outbound

This paper cites Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

Reference 58

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:3c03de27f92f29ec6dbbf4ed06e570a8b13863047dd542374b92ef86dd3995b8

Observation 77bbddaa-6d09-472f-b6aa-d72a273e5568 · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Videocomposer: Compositional video synthesis with motion controllability

Reference 59

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:dee1529d4917e8863d1fb0716fa87700ce034034f401d1a194634b47fc84a5cc

Observation 1f30eb94-ee28-43ac-ad06-5b0f50e78476 · outbound

This paper cites Videodirector: Precise video editing via text-to-video models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Videodirector: Precise video editing via text-to-video models

Reference 60

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:b0169736abe00b484efe9d236a3a7d1ad1f04a039a1e42ba6e259fedcb396677

Observation aebdc81e-3156-4fc1-855e-31fedfdc8643 · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 61

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:ab9620b55875a5bca4af6382631a2105991d953159a2dde8674dd591d4c34638

Observation 1b87f0a1-9d6e-4702-82b7-5db560bcbf94 · outbound

This paper cites Omnivdiff: Omni controllable video diffusion for generation and understanding.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Omnivdiff: Omni controllable video diffusion for generation and understanding

Reference 62

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:bbd8158eac1b342ad1890529d0b5413adc26cb9922be578f9dfce5c340494f2c

Observation 2fdeb9a5-bb4c-463f-a839-d9cd9bd2c631 · outbound

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

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 63

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:78c3630c067367ef9cb6b8d796fc2c3d3e643013b25428d3caa020de94a77873

Observation 5c46055e-4bf9-4dd0-abe8-c4efee28b4ac · outbound

This paper cites Motiondirector: Motion customization of text-to-video diffusion models.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Motiondirector: Motion customization of text-to-video diffusion models

Reference 64

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:d8ea696d11d55412610a4d4c09002c2dc32ca15eff9423accdef0a0439ee7759

Observation 3ca4e414-0a3d-44c1-95af-45f3a070dfc4 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 65

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:bfc4b1ed3e7fecb6935c4c8715f4afe79c359eab03417091f05a39c897f1030f

Observation be69b146-9a51-4801-8af0-c32df74e4f77 · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 66

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:a1cc96aa737db32039f82f0c60d2bc7d3ddbc158085fa26e1b64657349fb2908

Observation 3f778f4e-4f24-4ffd-b87d-7d45bafdde92 · outbound

This paper cites Posecrafter: One-shot personalized video synthesis following flexible pose control.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Posecrafter: One-shot personalized video synthesis following flexible pose control

Reference 67

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:16dd7508a461144ddd51ca20506179f87fa9218bc48ce608b083f20e3f6b79e3

Observation a4b307da-8a15-4fb4-ae19-ab46ee90768b · outbound

This paper cites Propainter: Improving propagation and transformer for video inpainting.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Propainter: Improving propagation and transformer for video inpainting

Reference 68

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:42ad22dd65b7c87cd246b7c7e8bbd005df03514233feb2969504cfb9b42b47ae

Observation 9f2bc41d-c338-4c46-aaef-d4c31bd6b000 · outbound

This paper cites Few-step flow for 3d generation via marginal-data transport distillation.

ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics Few-step flow for 3d generation via marginal-data transport distillation

Reference 69

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source=pdf_text observed=2026-07-12T00:20:07.678576Z digest=sha256:48af182ceac930d5b2e6cc4352845b5134a4b4f4c7756da31db67fa3c1d44b08

Pith citing papers

No inbound Pith citation observations are available.