MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation | Paper Citation Record

Observation f9878c2c-2e7a-47df-b374-16a3a4f459a7 · outbound

This paper cites an unresolved cited work.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:30.824635Z

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Observation d14401a2-d3ca-47af-b85b-e123d351e8aa · outbound

This paper cites Align your Latents: High-resolution Video Synthesis with Latent Diffusion Models.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Align your Latents: High-resolution Video Synthesis with Latent Diffusion Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:30.905978Z

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Observation c9637e46-0fb8-4e2b-a426-7914933b2cc1 · outbound

This paper cites Adaptformer: Adapt- ing Vision Transformers for Scalable Visual Recognition.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Adaptformer: Adapt- ing Vision Transformers for Scalable Visual Recognition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:31.044559Z

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Observation 0864ca9d-7003-488a-a0b7-0500acb737cf · outbound

This paper cites Con- textFlow: Training-Free Video Object Editing via Adap- tive Context Enrichment.arXiv preprint arXiv:2509.17818,.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Con- textFlow: Training-Free Video Object Editing via Adap- tive Context Enrichment.arXiv preprint arXiv:2509.17818,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:31.146031Z

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Observation 0bda6573-20e3-40cd-a636-0243694b1fd7 · outbound

This paper cites Directly Fine-Tuning Diffusion Models on Differentiable Rewards.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:31.313042Z

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Observation 43273c29-d53d-44db-8d0f-1f34fbb473ad · outbound

This paper cites Compact 3D Gaussian Splatting For Dense Visual SLAM.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Compact 3D Gaussian Splatting For Dense Visual SLAM

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:31.408196Z

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Observation 5f882862-610d-484e-bc96-514bb8861ee6 · outbound

This paper cites GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:31.525757Z

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Observation ffc12334-e345-4993-a95d-2bb19e562c59 · outbound

This paper cites Dit4edit: Dif- fusion Transformer for Image Editing.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Dit4edit: Dif- fusion Transformer for Image Editing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:31.612596Z

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Observation a2220b55-e6f0-47e5-b3d6-fccc886106e9 · outbound

This paper cites PAI-Studio: Cinematic Video Background Replacement with Camera-Aware Motion.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation PAI-Studio: Cinematic Video Background Replacement with Camera-Aware Motion

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:31.761340Z

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Observation 7fbc4c26-58fe-42a1-a3f2-ac4b05cb8c0e · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to- Image Diffusion Models without Specific Tuning, 2024.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation AnimateDiff: Animate Your Personalized Text-to- Image Diffusion Models without Specific Tuning, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:31.943701Z

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Observation 5773d16a-0aaa-4a6e-b2b3-98727afb5126 · outbound

This paper cites Denoising Dif- fusion Probabilistic Models.Advances in neural information processing systems, 33:6840–6851, 2020.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Denoising Dif- fusion Probabilistic Models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:32.132711Z

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Observation 8544bd8a-6cff-40df-a2e1-f11edea9a50c · outbound

This paper cites an unresolved cited work.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:32.299764Z

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Observation 5d13e50a-5d4b-427d-978e-9723fe12c6e2 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Parameter-Efficient Transfer Learning for NLP

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:32.457412Z

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Observation 3ab58d2c-d7d4-49df-8385-b4e007828b1c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Mod- els.Iclr, 1(2):3, 2022.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation LoRA: Low-Rank Adaptation of Large Language Mod- els.Iclr, 1(2):3, 2022

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:32.629260Z

Source-reported events for the cited work

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Observation 65b5cdc0-efcf-4f69-b8d1-b9738652cb9a · outbound

This paper cites Learning High Fi- delity Depths of Dressed Humans by Watching Social Media Dance Videos.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Learning High Fi- delity Depths of Dressed Humans by Watching Social Media Dance Videos

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:32.789406Z

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Observation e3c5ae6a-3ff1-4514-aef5-574765622d74 · outbound

This paper cites Vi- sual Prompt Tuning, 2022.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Vi- sual Prompt Tuning, 2022

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:32.970643Z

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Observation b4334448-1414-4057-ba75-ef91ccc1ae6d · outbound

This paper cites V ACE: All-in-one Video Creation and Editing.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation V ACE: All-in-one Video Creation and Editing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:33.105081Z

Source-reported events for the cited work

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Observation 4184ee52-d71d-4c96-a352-f9e85c2ef258 · outbound

This paper cites Fact: Factor-tuning for Lightweight Adaptation on Vision Transformer.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Fact: Factor-tuning for Lightweight Adaptation on Vision Transformer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:33.246746Z

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Observation a687287c-e94e-4411-9283-b39b8eb05048 · outbound

This paper cites Convolutional Bypasses are Better Vision Transformer Adapters.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Convolutional Bypasses are Better Vision Transformer Adapters

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:33.331026Z

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Observation 418bb496-2321-4fac-b81a-c6e292b239f7 · outbound

This paper cites Openhumanvid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Openhumanvid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:33.643311Z

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Observation 50de2c52-62ef-4d35-812d-cdb2ac9b47ad · outbound

This paper cites Prefix-tuning: Optimiz- ing Continuous Prompts for Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Prefix-tuning: Optimiz- ing Continuous Prompts for Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:33.793987Z

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Observation 927d5722-2781-406a-b7d9-99d81c1c2230 · outbound

This paper cites Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning.Advances in Neural Information Processing Systems, 35:109–123, 2022.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning.Advances in Neural Information Processing Systems, 35:109–123, 2022

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:33.932579Z

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Observation 2c2da0b3-5f6a-4355-88d8-584bc504b700 · outbound

This paper cites A Survey on Cache Methods in Dif- fusion Models: Toward Efficient Multi-Modal Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation A Survey on Cache Methods in Dif- fusion Models: Toward Efficient Multi-Modal Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:34.076780Z

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Observation 0d773766-2f2a-4ecf-9d97-4b8d37914e04 · outbound

This paper cites Towards Ef- ficient Visual Adaption via Structural Re-parameterization,.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Towards Ef- ficient Visual Adaption via Structural Re-parameterization,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:34.257061Z

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Observation b956c3f9-65fa-4bc7-b0a6-1d50263af8c1 · outbound

This paper cites VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation, 2023.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:34.414702Z

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Observation 91d640e0-d09d-4ee2-ba55-761e39d8d979 · outbound

This paper cites Latte: La- tent Diffusion Transformer for Video Generation, 2025.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Latte: La- tent Diffusion Transformer for Video Generation, 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:34.550612Z

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Observation cf3151aa-3567-4722-876f-4120e718daa8 · outbound

This paper cites Follow Your Pose: Pose- guided Text-to-video Generation Using Pose-free Videos.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Follow Your Pose: Pose- guided Text-to-video Generation Using Pose-free Videos

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:34.698577Z

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Observation dcf5fd99-a264-49ed-8e1c-117fc36b9c68 · outbound

This paper cites Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:34.842302Z

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Observation 10f535b4-5626-4cb7-bcb9-573b44b7a1b6 · outbound

This paper cites Magicstick: Controllable Video Editing via Control Handle Transforma- tions.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Magicstick: Controllable Video Editing via Control Handle Transforma- tions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:34.983878Z

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Observation 7112f4f9-c224-4ff9-8620-05ed82da6e12 · outbound

This paper cites Controllable Video Generation: A Survey.arXiv preprint arXiv:2507.16869,.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Controllable Video Generation: A Survey.arXiv preprint arXiv:2507.16869,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:35.137656Z

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Observation 9babe48f-1389-4d86-a76e-d98e7011f080 · outbound

This paper cites Follow-Your-Creation: Empowering 4D Creation through Video Inpainting.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Follow-Your-Creation: Empowering 4D Creation through Video Inpainting

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:35.228179Z

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Observation cb2926c7-f71b-44ed-8bb1-aef13a5e5d40 · outbound

This paper cites Follow-Your-Motion: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning.arXiv preprint arXiv:2506.05207, 2025.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Follow-Your-Motion: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning.arXiv preprint arXiv:2506.05207, 2025

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:35.323141Z

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Observation e973418a-fe20-4661-932b-fa102621ba50 · outbound

This paper cites Follow-your-emoji-faster: To- wards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation.arXiv preprint arXiv:2509.16630, 2025.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Follow-your-emoji-faster: To- wards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation.arXiv preprint arXiv:2509.16630, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:35.442226Z

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Observation d9ba1b3d-7e8a-49d4-883d-329badd5c465 · outbound

This paper cites Group Editing: Edit Multiple Im- ages in One Go.arXiv preprint arXiv:2603.22883, 2026.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Group Editing: Edit Multiple Im- ages in One Go.arXiv preprint arXiv:2603.22883, 2026

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:35.582206Z

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Observation 1da7bb10-6b28-4490-a7b4-958a03f57e8d · outbound

This paper cites FastVMT: Eliminat- ing Redundancy in Video Motion Transfer.arXiv preprint arXiv:2602.05551, 2026.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation FastVMT: Eliminat- ing Redundancy in Video Motion Transfer.arXiv preprint arXiv:2602.05551, 2026

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:35.780946Z

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Observation 463670d7-5729-4f98-937d-6429eccb7044 · outbound

This paper cites OpenVid-1M: A Large-Scale High-quality Dataset for Text- to-video Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation OpenVid-1M: A Large-Scale High-quality Dataset for Text- to-video Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:35.922237Z

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Observation 5f24bbc7-afca-49af-ac98-0712a8a060a2 · outbound

This paper cites ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning.Advances in Neural Information Process- ing Systems, 35:26462–26477, 2022.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning.Advances in Neural Information Process- ing Systems, 35:26462–26477, 2022

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:36.079918Z

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Observation 41d9a008-da03-4f71-bc75-04aab86d89e7 · outbound

This paper cites Scalable Diffusion Models with Transformers.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Scalable Diffusion Models with Transformers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:36.250657Z

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Observation f5f51f95-8238-4b36-bd39-37956beffc64 · outbound

This paper cites Aligning Text-to-Image Diffusion Mod- els with Reward Backpropagation, 2024.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Aligning Text-to-Image Diffusion Mod- els with Reward Backpropagation, 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:36.364326Z

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Observation d785460a-3cbb-42f1-8af6-964b56f7db91 · outbound

This paper cites Jensen, Zhenli Sheng, and Bin Yang.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Jensen, Zhenli Sheng, and Bin Yang

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:36.531368Z

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Observation 5cced903-e500-4f89-8ca8-26e59fc2c104 · outbound

This paper cites DBLoss: Decomposition-based Loss Function for Time Series Fore- casting.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation DBLoss: Decomposition-based Loss Function for Time Series Fore- casting

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:36.636932Z

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Observation 42b2b73e-bd55-4aaa-ae3c-f28bc2059389 · outbound

This paper cites DUET: Dual clustering enhanced mul- tivariate time series forecasting.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation DUET: Dual clustering enhanced mul- tivariate time series forecasting

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:36.797308Z

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Observation 69f09757-07d5-4860-9582-39ffa264e729 · outbound

This paper cites Learning transferable Visual Models from Natural Language Super- vision.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Learning transferable Visual Models from Natural Language Super- vision

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:36.895852Z

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Observation 9bb88ccf-4f74-47e2-8825-f7356ee75f59 · outbound

This paper cites Dreambooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Dreambooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:37.056600Z

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Observation 220d6bf8-eacc-4c6b-a2c7-fdf0a1b5792b · outbound

This paper cites pytorch-fid: FID Score for PyTorch.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation pytorch-fid: FID Score for PyTorch

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:37.192812Z

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Observation ee6fdaa6-4583-4ccf-ba2e-b3e3de9c5d74 · outbound

This paper cites an unresolved cited work.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:37.330834Z

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Observation 8ae85042-b5dc-4586-939f-1eed3387e492 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data, 2022.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Make-A-Video: Text-to-Video Generation without Text-Video Data, 2022

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:37.474409Z

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Observation 12af5eeb-0aac-4c9f-ba8f-70a2cd2a4d5e · outbound

This paper cites Visual Prompt Tuning for Generative Transfer Learning.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Visual Prompt Tuning for Generative Transfer Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:37.651631Z

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Observation df4686ab-be4c-4f8f-8de6-e55acfc734ad · outbound

This paper cites Denois- ing Diffusion Implicit Models, 2022.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Denois- ing Diffusion Implicit Models, 2022

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:37.795721Z

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Observation 426170fc-c50b-4c10-bd8d-d3048da4bf3a · outbound

This paper cites Proces- sPainter: Learning to Draw from Sequence Data.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Proces- sPainter: Learning to Draw from Sequence Data

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:37.904869Z

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Observation 8dac4024-2c07-4260-8613-db96c06b4354 · outbound

This paper cites StreamingEffect: Real-Time Human-Centric Video Effect Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation StreamingEffect: Real-Time Human-Centric Video Effect Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:37.969661Z

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Observation 6573994b-a427-4c0a-95d9-fea822f0e6ea · outbound

This paper cites VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.065546Z

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Observation 9b5f84c8-c4e0-46a0-b1e5-dc5ebfa229b8 · outbound

This paper cites Fedperfix: Towards Partial Model Personaliza- tion of Vision Transformers in Federated Learning.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Fedperfix: Towards Partial Model Personaliza- tion of Vision Transformers in Federated Learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.152747Z

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Observation 884077c4-fc59-40dc-a9f1-6f1ce8e29093 · outbound

This paper cites To- wards Accurate Generative Models of Video: A New Metric & Challenges, 2019.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation To- wards Accurate Generative Models of Video: A New Metric & Challenges, 2019

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.233639Z

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Observation 041ef49c-e3d4-4245-9675-08bea9c1fc5f · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models, 2025.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Wan: Open and Advanced Large-Scale Video Generative Models, 2025

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.279747Z

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Observation 540e8b25-b54a-4d00-bac0-8c11b31276e8 · outbound

This paper cites Cove: Unleashing the Diffusion Fea- ture Correspondence for Consistent Video Editing.Advances in Neural Information Processing Systems, 37:96541–96565,.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Cove: Unleashing the Diffusion Fea- ture Correspondence for Consistent Video Editing.Advances in Neural Information Processing Systems, 37:96541–96565,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.333256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21220433-cec2-42db-ba5f-189fa3e753e1 · outbound

This paper cites Taming Rectified Flow for Inversion and Editing.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Taming Rectified Flow for Inversion and Editing

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.414216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25c75ee7-a946-4055-b456-30cb6e3f6254 · outbound

This paper cites DiffLoRA: Generating Person- alized Low-Rank Adaptation Weights with Diffusion, 2024.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation DiffLoRA: Generating Person- alized Low-Rank Adaptation Weights with Diffusion, 2024

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.472731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2875089-18fe-4510-8b46-555728f6d1bb · outbound

This paper cites DAPE: Dual-Stage Parameter-Efficient Fine-Tuning for Consistent Video Editing with Diffusion Models, 2025.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation DAPE: Dual-Stage Parameter-Efficient Fine-Tuning for Consistent Video Editing with Diffusion Models, 2025

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.512937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68317cdc-cf3c-4deb-8839-1cd449a4682f · outbound

This paper cites SimDA: Simple Diffusion Adapter for Efficient Video Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation SimDA: Simple Diffusion Adapter for Efficient Video Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.553179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f779d59-fddc-4573-bf85-24c7adb44e80 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation, 2025.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation DanceGRPO: Unleashing GRPO on Visual Generation, 2025

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.604169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce266c5c-f3f4-4ec3-99a5-2c75f2ed0d28 · outbound

This paper cites CogvideoX: Text-to- Video Diffusion Models with an Expert Transformer.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation CogvideoX: Text-to- Video Diffusion Models with an Expert Transformer

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.673543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fd88160-bae5-44b9-abd1-fc9fce888eb5 · outbound

This paper cites IP- Adapter: Text Compatible Image Prompt Adapter for Text- to-Image Diffusion Models, 2023.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation IP- Adapter: Text Compatible Image Prompt Adapter for Text- to-Image Diffusion Models, 2023

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.808926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61b3e157-acd4-4b77-921b-a725e89da735 · outbound

This paper cites an unresolved cited work.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:38.923993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e61b66-3de5-447d-95e2-a0171ae5904f · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Adding Conditional Control to Text-to-Image Diffusion Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:39.066468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57241580-4dd4-438d-9479-7f2614616c30 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Efros, Eli Shecht- man, and Oliver Wang

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:39.190076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d5dd03c-7130-4662-bac0-b9e888d520d6 · outbound

This paper cites ControlVideo: Training-free Con- trollable Text-to-Video Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation ControlVideo: Training-free Con- trollable Text-to-Video Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:39.300404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e00be9-7538-428e-a7d0-866ec0cd85de · outbound

This paper cites MagicColor: Multi-Instance Sketch Coloriza- tion.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation MagicColor: Multi-Instance Sketch Coloriza- tion

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:39.406454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4344e544-7198-4363-85cc-8093ba3bd951 · outbound

This paper cites In- stanceAnimator: Multi-Instance Sketch Video Colorization.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation In- stanceAnimator: Multi-Instance Sketch Video Colorization

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:39.540818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4394b46-6d26-4c5c-b2fa-8e7e16044c20 · outbound

This paper cites Tea-Adapter: Teacher Adapter for Efficient Conditional Generation.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Tea-Adapter: Teacher Adapter for Efficient Conditional Generation

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:39.705851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aca3982-893e-4bf3-8412-b4d82824dbeb · outbound

This paper cites Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:39.785346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8107900-ac37-48dd-b186-024d5403f78c · outbound

This paper cites Ltd 1 Oliver’s Yard, 55 City Road, London, EC1Y 1SP, 2024.

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation Ltd 1 Oliver’s Yard, 55 City Road, London, EC1Y 1SP, 2024

Reference 209

Resolution: unresolved; no resolver link, observed 2026-08-02T01:44:33.480910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers