MOVi: Training-free Text-conditioned Multi-Object Video Generation | Paper Citation Record

Observation 6c51cfaf-ecdf-40d7-ad8c-681e9defe6fb · outbound

This paper cites GPT-4 Technical Report.

MOVi: Training-free Text-conditioned Multi-Object Video Generation GPT-4 Technical Report

Reference 1

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Observation 1d82a762-a827-434e-bece-cc68cfb7d6f8 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Frozen in time: A joint video and im- age encoder for end-to-end retrieval

Reference 2

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Observation be240a50-c82f-4585-9e23-60e5a9698fa5 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 3

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Observation 43d0e7af-36c5-4746-99e5-dd6195be5d4a · outbound

This paper cites Multidiffusion: Fusing diffusion paths for con- trolled image generation.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Multidiffusion: Fusing diffusion paths for con- trolled image generation

Reference 4

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Observation 842663ce-81b1-4b8c-8aa1-fa07edf8a6ab · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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Observation 36d37ad9-256f-4803-b3a0-9f2618fed3e0 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Align your latents: High-resolution video synthesis with latent diffusion models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:10.495466Z

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Observation a7ccfdea-b328-485b-9aa7-2f6d59470f66 · outbound

This paper cites VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models

Reference 7

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Observation 9b6071c2-fd71-4667-990e-1f617c379fd0 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Videocrafter2: Overcoming data limitations for high- quality video diffusion models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:10.125256Z

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Observation b335be6a-f2fe-4445-abf3-c8838c6ffc80 · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:09.819009Z

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Observation 86692de2-767f-4608-8f4a-42cd3c20b68f · outbound

This paper cites Sora as an agi world model? a complete survey on text-to-video generation.arXiv preprint arXiv:2403.05131, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Sora as an agi world model? a complete survey on text-to-video generation.arXiv preprint arXiv:2403.05131, 2024

Reference 10

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Observation 9ccaa405-75ef-4749-abaa-783b7ae51a71 · outbound

This paper cites Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:09.551068Z

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Observation 9b25e274-37d8-4f14-9df1-b3ea4c4abc93 · outbound

This paper cites DiffSynth-Studio: Enjoy the magic of Diffusion models!https://github.com/ modelscope/DiffSynth-Studio, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation DiffSynth-Studio: Enjoy the magic of Diffusion models!https://github.com/ modelscope/DiffSynth-Studio, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:09.166354Z

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Observation 3935d16d-c838-4c6e-a3c0-37efa2f38078 · outbound

This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.International Conference on Learn- ing Representations, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.International Conference on Learn- ing Representations, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.832656Z

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Observation 37fc4c8d-8a6f-458c-a9a0-ec81da22db58 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 14

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Observation 6f32561d-1157-4416-8631-f864ad6099ec · outbound

This paper cites CLIPScore: a reference- free evaluation metric for image captioning.

MOVi: Training-free Text-conditioned Multi-Object Video Generation CLIPScore: a reference- free evaluation metric for image captioning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.484965Z

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Observation d1933484-4e79-4734-841f-0027a4878843 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 16

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Observation 33db6231-caa2-4980-810c-6cb240c89537 · outbound

This paper cites Denois- ing diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Denois- ing diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 17

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Observation 9a3b2a17-96da-4b8b-b8e0-5a45bb38fc4c · outbound

This paper cites Video Diffusion Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Video Diffusion Models

Reference 18

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Observation caa1bd13-a401-4165-ba1b-c5537d101575 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

MOVi: Training-free Text-conditioned Multi-Object Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 19

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Observation 50e588c3-2169-4d3c-acd8-eae01d532af9 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Vbench: Comprehensive benchmark suite for video generative models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.315535Z

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Observation 6015e7c6-9ffa-4ff7-b1aa-9ed77f66ca46 · outbound

This paper cites High-quality Text-to-video Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation High-quality Text-to-video Models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.307585Z

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Observation b974e219-4fb0-4c1e-ae84-95e7459971bd · outbound

This paper cites KLING AI: Next-Generation AI Creative Studio.https://www.klingai.com/, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation KLING AI: Next-Generation AI Creative Studio.https://www.klingai.com/, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.180073Z

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Observation 272c985e-138a-496a-b615-57a1b4732816 · outbound

This paper cites Multi-concept cus- tomization of text-to-image diffusion.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Multi-concept cus- tomization of text-to-image diffusion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.862669Z

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Observation 2233dae1-8b17-4b73-b21d-c9aca587af4f · outbound

This paper cites TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models

Reference 24

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Observation be3c788d-8ee8-4078-a85b-caa23787f32f · outbound

This paper cites Gligen: Open-set grounded text-to- image generation.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Gligen: Open-set grounded text-to- image generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.638758Z

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Observation 80044332-1829-4001-9a49-611707efe2e6 · outbound

This paper cites Movideo: Motion-aware video generation with diffusion model.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Movideo: Motion-aware video generation with diffusion model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.496035Z

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Observation ff403e82-cb7a-4ac2-a7ee-489674d20e87 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.343576Z

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Observation a634ebcf-1c1d-4882-9502-b3558c670a96 · outbound

This paper cites Detector Guidance for Multi-Object Text-to-Image Generation.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Detector Guidance for Multi-Object Text-to-Image Generation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:01:03.014410Z

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Observation be93cda6-eecb-4039-958a-99d6463f79db · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 29

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Observation 4ab781fb-589e-4f9b-93fb-8ee640cf5507 · outbound

This paper cites Lumaai.https://lumalabs.ai/,.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Lumaai.https://lumalabs.ai/,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.181827Z

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Observation 32ae22fd-4d49-4c6d-ad5c-14872d010344 · outbound

This paper cites Vidm: Video implicit diffusion models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Vidm: Video implicit diffusion models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.675171Z

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Observation 37de2084-99d7-4691-bb74-cfadb942a24d · outbound

This paper cites Hailuo AI: Captivating AI Videos Gen- erated with Hailuo AI .https://hailuoai.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Hailuo AI: Captivating AI Videos Gen- erated with Hailuo AI .https://hailuoai

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.512260Z

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Observation 00d20cf3-5a94-4aab-a214-7fbe8a35b8a0 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Dreamix: Video Diffusion Models are General Video Editors

Reference 33

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Observation ed0700fb-40f1-46c2-b9df-8dc13412dc53 · outbound

This paper cites WorldSimBench: Towards Video Generation Models as World Simulators.

MOVi: Training-free Text-conditioned Multi-Object Video Generation WorldSimBench: Towards Video Generation Models as World Simulators

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.855458Z

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Observation ccd886c3-2fdb-4825-9188-ee47f941fb16 · outbound

This paper cites FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.932469Z

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Observation b61f693c-65c2-4189-8e45-07b895997203 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation High- resolution image synthesis with latent diffusion mod- els

Reference 36

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Observation 077b15c3-383c-4714-9e5e-ec3e29d03024 · outbound

This paper cites Gen-2: Generate novel videos with text, im- ages or video clips, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Gen-2: Generate novel videos with text, im- ages or video clips, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.325296Z

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Observation 0d5210f5-31b9-4dd7-9af0-34f0764c78a1 · outbound

This paper cites Introducing Gen-3 Alpha: A New Frontier for Video Generation, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Introducing Gen-3 Alpha: A New Frontier for Video Generation, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.166910Z

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Observation 55510d57-fa72-422a-81f8-f760346fd4d4 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.153544Z

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Observation d567d424-2a2d-472e-ab42-d20348480375 · outbound

This paper cites Denoising Diffusion Implicit Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Denoising Diffusion Implicit Models

Reference 40

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Observation b94524fd-15c5-4b14-a04b-404da42a760b · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

MOVi: Training-free Text-conditioned Multi-Object Video Generation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.283843Z

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Observation cf967497-233e-4b07-818c-d3b7f7e4bfe7 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Raft: Recurrent all-pairs field transforms for optical flow

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.011982Z

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Observation d42c452d-9d30-4735-b207-c73d02727e5c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation LLaMA: Open and Efficient Foundation Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.389339Z

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Observation 9c91d916-d50f-466b-ae54-23f87b483035 · outbound

This paper cites Fvd: A new metric for video generation.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Fvd: A new metric for video generation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:05.828168Z

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Observation c9b98d0c-7c9f-4cf4-8689-727ac648b204 · outbound

This paper cites Vchitect 2.0: Embark on a Visual Fan- tasy Journey.https://vchitect.intern- ai.org.cn/, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Vchitect 2.0: Embark on a Visual Fan- tasy Journey.https://vchitect.intern- ai.org.cn/, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:05.693951Z

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Observation 7728518b-2d64-4a24-aa08-5fe07fb488c1 · outbound

This paper cites Phenaki: Variable Length Video Generation From Open Domain Textual Description.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Phenaki: Variable Length Video Generation From Open Domain Textual Description

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.551776Z

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Observation b92d328c-fdd7-4fc2-8881-e6dc1d5cc576 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation ModelScope Text-to-Video Technical Report

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.629908Z

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Observation 76bd7851-616f-47fe-a686-038e71947e91 · outbound

This paper cites Boximator: Generating Rich and Controllable Motions for Video Synthesis.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Boximator: Generating Rich and Controllable Motions for Video Synthesis

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.698486Z

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Observation 0bd7da98-74db-4435-9e17-d1bf73de581c · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation CogVLM: Visual Expert for Pretrained Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.755454Z

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Observation 77514227-2a4a-46c9-a9b4-dbef5600b2ae · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Emu3: Next-Token Prediction is All You Need

Reference 50

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Observation 5527bad4-bd6c-4d2a-a004-2ab86e607bdb · outbound

This paper cites WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens.

MOVi: Training-free Text-conditioned Multi-Object Video Generation WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.850247Z

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Observation 5b73f522-f386-48ad-8fa6-f7b34042c99f · outbound

This paper cites LaVie: High-quality video generation with cascaded latent diffusion mod- els.IJCV, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation LaVie: High-quality video generation with cascaded latent diffusion mod- els.IJCV, 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:05.494450Z

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Observation 0969d8ed-1fb6-4f3b-99cf-9b277420cd86 · outbound

This paper cites Customvideo: Cus- tomizing text-to-video generation with multiple sub- jects.arXiv preprint arXiv:2401.09962, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Customvideo: Cus- tomizing text-to-video generation with multiple sub- jects.arXiv preprint arXiv:2401.09962, 2024

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.965204Z

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Observation 25ef5394-9984-4e2d-ba69-6861e8466566 · outbound

This paper cites Grit: A generative region-to-text transformer for ob- ject understanding.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Grit: A generative region-to-text transformer for ob- ject understanding

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:05.242780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a5b9fce2-6191-40d8-9afd-ef79d6c2815a · outbound

This paper cites FreeInit: Bridging Initialization Gap in Video Diffusion Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation FreeInit: Bridging Initialization Gap in Video Diffusion Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:01.085135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81dc84f9-3b18-4b54-ba9f-d8405d3a5837 · outbound

This paper cites Dynamicrafter: An- imating open-domain images with video diffusion pri- ors.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Dynamicrafter: An- imating open-domain images with video diffusion pri- ors

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:04.971631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 591e9272-6616-4805-bcaa-020b06632107 · outbound

This paper cites MSR- VTT: A large video description dataset for bridging video and language.

MOVi: Training-free Text-conditioned Multi-Object Video Generation MSR- VTT: A large video description dataset for bridging video and language

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:04.732407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5dd678f3-210e-4785-8b6f-57f08c563b28 · outbound

This paper cites Advancing high-resolution video- language representation with large-scale video tran- scriptions.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Advancing high-resolution video- language representation with large-scale video tran- scriptions

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:04.458872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bdfe9b52-8ebb-4196-94bb-615dfa0b7647 · outbound

This paper cites Video in- stance segmentation.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Video in- stance segmentation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:04.185001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc07aed5-accc-4f00-9c2c-b2af7ecc7e2a · outbound

This paper cites EVA: Zero-shot Accurate Attributes and Multi-Object Video Editing.

MOVi: Training-free Text-conditioned Multi-Object Video Generation EVA: Zero-shot Accurate Attributes and Multi-Object Video Editing

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:01.607138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e031dc-3a43-4f2c-95a1-ce678daf7a23 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:01.724034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1095eefb-eac3-49e4-a793-9812637b7ad5 · outbound

This paper cites Show-1: Marrying pixel and latent diffusion models for text-to-video generation.Interna- tional Journal of Computer Vision, pages 1–15, 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Show-1: Marrying pixel and latent diffusion models for text-to-video generation.Interna- tional Journal of Computer Vision, pages 1–15, 2024

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:03.849630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 274b38f8-d867-4814-bdab-22d674d6b567 · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

MOVi: Training-free Text-conditioned Multi-Object Video Generation I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:02.040690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a86a191-9976-4ebc-9f37-0abae1793df8 · outbound

This paper cites Real-time vehicle detection based on improved yolo v5.Sustainability, 14(19):12274, 2022.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Real-time vehicle detection based on improved yolo v5.Sustainability, 14(19):12274, 2022

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:03.624415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2111eff1-6b07-4239-8e8b-1b32f1cb52c7 · outbound

This paper cites Open-sora: Democratizing efficient video production for all, March 2024.

MOVi: Training-free Text-conditioned Multi-Object Video Generation Open-sora: Democratizing efficient video production for all, March 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:03.398534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 808ab046-08ce-426e-8557-ccebdeab53d0 · outbound

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

MOVi: Training-free Text-conditioned Multi-Object Video Generation MagicVideo: Efficient Video Generation With Latent Diffusion Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:02.423170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53331444-f74f-4ea2-b685-554cd1e63306 · outbound

This paper cites 2, 5, 7, 8.

MOVi: Training-free Text-conditioned Multi-Object Video Generation 2, 5, 7, 8

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.966840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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