Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:10:16.837253Z
Paper Citation Record · LEDGER
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
As of 17 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 8 inbound Pith citation observations for arXiv:2412.19645.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:11.282581Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T08:17:45.922106Z
Reference resolution
84 of 84 outbound references displayed
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- unresolved39
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a38a04e0-f354-48cd-9c60-c74140685150 · outbound
This paper cites GPT-4 Technical Report.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models GPT-4 Technical Report
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cc5ff6c-a0ad-4513-8942-cf887edf3699 · outbound
This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0eeaea9c-1fc0-4dfc-8760-af1d379e6729 · outbound
This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Lumiere: A Space-Time Diffusion Model for Video Generation
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbef9055-5c60-4e8e-81d9-b99265240545 · outbound
This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Align your latents: High-resolution video synthesis with la- tent diffusion models
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09283e1c-c635-4dd0-9158-78e16a594a45 · outbound
This paper cites Video generation models as world simulators.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Video generation models as world simulators
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5c21e6c-514e-4ef1-9c27-383ad2395849 · outbound
This paper cites Still-Moving: Customized Video Generation without Customized Video Data.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Still-Moving: Customized Video Generation without Customized Video Data
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4b17713-a035-4d86-9e7b-2af503e57094 · outbound
This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Reference 7
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f3f8124-c933-43db-b495-d4d4111e68b2 · outbound
This paper cites DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e963efa-4742-4f6e-8f56-21a474c1b87c · outbound
This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Videocrafter2: Overcoming data limitations for high-quality video diffusion models
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 810b07c9-614e-45aa-b5aa-aa1976bf3f79 · outbound
This paper cites Anydoor: Zero-shot object-level im- age customization.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Anydoor: Zero-shot object-level im- age customization
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 149af399-253d-475c-9a6b-949dc728daba · outbound
This paper cites Arcface: Additive angular margin loss for deep face recognition.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Arcface: Additive angular margin loss for deep face recognition
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f8feda1-2a7a-4a50-8020-3974f688445e · outbound
This paper cites Gvd- iff: Grounded text-to-video generation with diffusion mod- els, 2024.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Gvd- iff: Grounded text-to-video generation with diffusion mod- els, 2024
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 680ea694-98e0-4ac7-ae54-f81443dbb7d9 · outbound
This paper cites Structure and content-guided video synthesis with diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Structure and content-guided video synthesis with diffusion models
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39e1dbc9-5d55-4b2d-8f01-7ad52784260e · outbound
This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 357bea52-1f0e-4b7f-bfbf-139406aeef81 · outbound
This paper cites Bermano, Gal Chechik, and Daniel Cohen-Or.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Bermano, Gal Chechik, and Daniel Cohen-Or
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d45d7ecf-ddff-41aa-86bf-6857b4160546 · outbound
This paper cites Preserve your own correlation: A noise prior for video diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Preserve your own correlation: A noise prior for video diffusion models
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b742eb0c-580f-4f5b-b34d-c306fa973399 · outbound
This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2c74933-5148-4c10-b647-e1e55b9d7bed · outbound
This paper cites Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e54ea6dc-7614-4b13-8399-12c7e5efca3a · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79a97b69-301f-4943-a09c-bfb1445076d0 · outbound
This paper cites Photorealistic video generation with diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Photorealistic video generation with diffusion models
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 256e437f-d703-41ce-bc4b-7359c5c675a7 · outbound
This paper cites Svdiff: Compact param- eter space for diffusion fine-tuning.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Svdiff: Compact param- eter space for diffusion fine-tuning
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 36ad9b32-11f0-42c7-9b7b-271cd8988dde · outbound
This paper cites Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89cf3de4-2fd4-415f-a5f1-3813eb1e59d8 · outbound
This paper cites ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 562d4900-e5a3-48f0-9859-26e534783bbf · outbound
This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Latent Video Diffusion Models for High-Fidelity Long Video Generation
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0be9a833-05ef-4175-8883-5645e61dc531 · outbound
This paper cites Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5a6ba51-b072-4f95-bdde-d43bde072159 · outbound
This paper cites Animate anyone: Consistent and controllable image- to-video synthesis for character animation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Animate anyone: Consistent and controllable image- to-video synthesis for character animation
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97ba6677-e3d4-4739-a10f-0f3793b04760 · outbound
This paper cites DreamTuner: Single Image is Enough for Subject-Driven Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models DreamTuner: Single Image is Enough for Subject-Driven Generation
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation def76366-29bb-412b-b45e-c84a03e26662 · outbound
This paper cites Group diffusion transformers are unsupervised multi- task learners, 2024.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Group diffusion transformers are unsupervised multi- task learners, 2024
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 794760b9-5956-4352-a6a8-f21423322cdf · outbound
This paper cites In-context lora for diffusion transformers, 2024.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models In-context lora for diffusion transformers, 2024
Reference 29
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- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 06b51ad7-85df-49c8-bec0-c12397158ea0 · outbound
This paper cites Chatdit: A training-free baseline for task-agnostic free-form chatting with diffusion transformers,.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Chatdit: A training-free baseline for task-agnostic free-form chatting with diffusion transformers,
Reference 30
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b5132bb8-628b-4da7-b8d7-7505ef586365 · outbound
This paper cites Vbench: Comprehensive bench- mark suite for video generative models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Vbench: Comprehensive bench- mark suite for video generative models
Reference 31
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4d5fa38-8bc0-413b-8678-5c951cce31ee · outbound
This paper cites Videobooth: Diffusion-based video generation with image prompts.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Videobooth: Diffusion-based video generation with image prompts
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 249d3d11-45b4-4f11-af20-b6aca5a58216 · outbound
This paper cites MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
Reference 33
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa6cc8ac-03ed-4cdd-b0d2-b88e8e8ca161 · outbound
This paper cites Segment any- thing.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Segment any- thing
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3c7af00-2e8d-4f6b-a47c-3d7bc0691486 · outbound
This paper cites Multi-concept customization of text-to-image diffusion.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Multi-concept customization of text-to-image diffusion
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd6eb863-16ab-4acf-850b-fb5b95e54390 · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bc04fe08-215a-4bb3-940e-535541747bc8 · outbound
This paper cites When stylegan meets stable diffusion: a w+ adapter for personal- ized image generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models When stylegan meets stable diffusion: a w+ adapter for personal- ized image generation
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e413ad6e-6294-41bf-aaa7-b8f6c1d6391a · outbound
This paper cites Photomaker: Customizing realistic human photos via stacked id embedding.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Photomaker: Customizing realistic human photos via stacked id embedding
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e6ef939f-4e92-489a-a8da-09a9f4568853 · outbound
This paper cites Idea-bench: How far are generative mod- els from professional designing?, 2024.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Idea-bench: How far are generative mod- els from professional designing?, 2024
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a6e50b6-ab13-48f8-8311-63c084574991 · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 40
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 604d3b37-8cda-48da-aad0-85f9fbd6beee · outbound
This paper cites Cones: Concept Neurons in Diffusion Models for Customized Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Cones: Concept Neurons in Diffusion Models for Customized Generation
Reference 41
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f05394d2-ca55-473f-9f22-0b428b6e2ccb · outbound
This paper cites Cones 2: Customizable image synthesis with multiple subjects.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Cones 2: Customizable image synthesis with multiple subjects
Reference 42
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e9312c9-5fa5-49ec-a56d-cd62a191dcaf · outbound
This paper cites Mode: Clip data experts via clustering.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Mode: Clip data experts via clustering
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ab395715-156a-4d5f-9a0a-ffc21c01d429 · outbound
This paper cites Latte: Latent Diffusion Transformer for Video Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Latte: Latent Diffusion Transformer for Video Generation
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b159497-e6ac-4f33-bad7-7ff9865ff93e · outbound
This paper cites Ovmr: Open-vocabulary recognition with multi-modal ref- erences.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Ovmr: Open-vocabulary recognition with multi-modal ref- erences
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:18.169650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5e0d985-5e75-4044-ae06-f78bdf36865f · outbound
This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:18.148654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c2a8efb-b864-486c-9092-7963903c9a90 · outbound
This paper cites Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models
Reference 47
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 67014fe7-77b1-43a4-8de4-478565529300 · outbound
This paper cites Scalable diffusion models with transformers.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Scalable diffusion models with transformers
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:18.115283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9c0da423-d28e-4640-8c95-6fec925e651e · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 49
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e34be218-5326-4563-b72f-f52127aa1db0 · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Learn- ing transferable visual models from natural language super- vision
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:18.092363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e134820-6933-45ab-8af9-44fdb1e0ec4d · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 51
- Resolution
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- no resolver link, observed 2026-08-11T00:10:16.650712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa6d7b36-3381-4045-9e19-9992f8f8acb6 · outbound
This paper cites High-resolution image syn- thesis with latent diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models High-resolution image syn- thesis with latent diffusion models
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:18.074114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 82402dc4-8265-4c45-ba9b-62fdba98cb23 · outbound
This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:18.055618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1be00dee-eaf7-4555-b104-238ba83e3a99 · outbound
This paper cites Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Hyperdreambooth: Hypernetworks for fast personalization of text-to-image models
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:18.031125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 166d3413-1ddd-4b39-8e6b-d15e7e36ae85 · outbound
This paper cites Instant- booth: Personalized text-to-image generation without test- time finetuning.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Instant- booth: Personalized text-to-image generation without test- time finetuning
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:18.014165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 58dba9a0-72d4-4e36-9fc3-e01d2cd845c9 · outbound
This paper cites Denoising Diffusion Implicit Models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Denoising Diffusion Implicit Models
Reference 56
- Resolution
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- no resolver link, observed 2026-08-11T00:10:16.676989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8d414da-4f5c-4ac6-b21a-50bc77205b10 · outbound
This paper cites ModelScope Text-to-Video Technical Report.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models ModelScope Text-to-Video Technical Report
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.683672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d95836d5-dc1e-4f8e-b845-c39e9c46e375 · outbound
This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models InstantID: Zero-shot Identity-Preserving Generation in Seconds
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.690369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fed664e7-9746-4563-81b5-26a7dbc4ec9d · outbound
This paper cites Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.696450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82fcf46f-a514-46fe-ae53-87faaa2ced75 · outbound
This paper cites Videocomposer: Compositional video synthesis with motion controllability.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Videocomposer: Compositional video synthesis with motion controllability
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.992854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 12fa1013-217c-4f8e-8c1d-91b4e0755ad4 · outbound
This paper cites A recipe for scaling up text-to-video genera- tion with text-free videos.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models A recipe for scaling up text-to-video genera- tion with text-free videos
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.972894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8e37e7a-9459-4575-a3c9-36e1dfeb177b · outbound
This paper cites LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.713313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaf3c0a0-e3aa-49f1-929e-cbe52da254bd · outbound
This paper cites Customvideo: Customizing text- to-video generation with multiple subjects.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Customvideo: Customizing text- to-video generation with multiple subjects
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.718378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cbc0782-f118-4416-8840-1c4a9e4b3985 · outbound
This paper cites Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.950850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6f22435f-91d4-42e1-8d20-82d498494dfb · outbound
This paper cites Dreamvideo: Composing your dream videos with customized subject and motion.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Dreamvideo: Composing your dream videos with customized subject and motion
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.929501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4812631a-f4f0-4492-a8e8-3120fa62d133 · outbound
This paper cites Spherediffusion: Spherical geometry- aware distortion resilient diffusion model.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Spherediffusion: Spherical geometry- aware distortion resilient diffusion model
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.909499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 402eb5ac-632a-4958-9c2d-63bbcbce4a51 · outbound
This paper cites CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.739129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 143526f4-a79b-4b0a-b7a7-67dfb6eda3e4 · outbound
This paper cites X-portrait: Expressive portrait anima- tion with hierarchical motion attention.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models X-portrait: Expressive portrait anima- tion with hierarchical motion attention
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.891524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bb07be18-246b-4771-b638-ab03d4915360 · outbound
This paper cites Demystifying clip data.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Demystifying clip data
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.874493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce9db863-7eda-40ea-af97-0ef8f78675e6 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.755038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f9da4a8-e9bc-4673-8d0a-44a07c75ac35 · outbound
This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.760656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3aee5cad-39a8-44c3-9977-3a122958ffb1 · outbound
This paper cites Celebv-text: A large-scale fa- cial text-video dataset.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Celebv-text: A large-scale fa- cial text-video dataset
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.766562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ae66ad6-4d87-4416-a314-ee597bba4843 · outbound
This paper cites Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.772204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e71b0634-a6c2-4f63-a80b-c07d35238af7 · outbound
This paper cites Inserting anybody in diffusion models via celeb ba- sis.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Inserting anybody in diffusion models via celeb ba- sis
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.844470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b42aebb2-ecc8-4a45-ad82-668a8eee4981 · outbound
This paper cites Instructvideo: instructing video dif- fusion models with human feedback.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Instructvideo: instructing video dif- fusion models with human feedback
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.827084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 63522520-1978-4b69-a9d6-83c249d8fdff · outbound
This paper cites Se- manticmim: Marring masked image modeling with seman- tics compression for general visual representation, 2024.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Se- manticmim: Marring masked image modeling with seman- tics compression for general visual representation, 2024
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.808809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c37df1d1-d6dd-436a-a651-bbf31ec42fb8 · outbound
This paper cites Show-1: Marrying pixel and latent diffusion models for text-to-video generation.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Show-1: Marrying pixel and latent diffusion models for text-to-video generation
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.790905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d65aa335-33f9-47fa-bbd5-80114771d055 · outbound
This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.802501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9df6535c-529e-4e5c-b892-17a515a19d83 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Adding conditional control to text-to-image diffusion models
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.773205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a083c5bb-aa99-499f-a3b9-a05be84ba76a · outbound
This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.814722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ceb8bec5-3173-4077-a39c-8c5bb497d928 · outbound
This paper cites Videoassembler: Identity- consistent video generation with reference entities using dif- fusion model.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Videoassembler: Identity- consistent video generation with reference entities using dif- fusion model
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.753931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2d9db86a-cc03-444b-b52d-b218b78270f1 · outbound
This paper cites Towards fine-grained hboe with rendered orientation set and laplace smoothing.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Towards fine-grained hboe with rendered orientation set and laplace smoothing
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:10:17.733600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1b125d9c-8362-4838-b666-9ef21ecf1623 · outbound
This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models MagicVideo: Efficient Video Generation With Latent Diffusion Models
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.831784Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3619a73a-f57a-4d64-9f1c-32d5a0585e98 · outbound
This paper cites Allegro: Open the Black Box of Commercial-Level Video Generation Model.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Allegro: Open the Black Box of Commercial-Level Video Generation Model
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:10:16.837253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation de7a006c-226f-4bc8-9be9-c46371fc1674 · inbound
3D Object Manipulation in a Single Image using Generative Models cites this paper.
3D Object Manipulation in a Single Image using Generative Models VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:40:47.679958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3032288c-c5d5-45b8-9240-017192d0beeb · inbound
RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control cites this paper.
RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:40:21.394334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcc6d590-eba2-4688-b6e3-daffc7ced655 · inbound
Tiger200K: Manually Curated High Visual Quality Video Dataset from UGC Platform cites this paper.
Tiger200K: Manually Curated High Visual Quality Video Dataset from UGC Platform VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:33:11.282581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 826819c3-4153-418f-983c-d7476cac4c33 · inbound
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition cites this paper.
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:46:42.382695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cbccfbe-3158-4999-8727-8ff4197e943d · inbound
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation cites this paper.
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:59:35.772784Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85200cf7-3b60-4892-8817-72461ee0b9e9 · inbound
SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation cites this paper.
SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:02:10.490458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b3e9c20b-5861-4e0c-82a3-f64d54955d99 · inbound
Image-to-Video Diffusion: From Foundations to Open Frontiers cites this paper.
Image-to-Video Diffusion: From Foundations to Open Frontiers VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
Reference 109
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T15:08:25.047227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f722949-2bec-4b18-b24c-d5afb16ece11 · inbound
ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation cites this paper.
ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T08:17:45.923807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.