AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance | Paper Citation Record

Observation 65d73464-1433-4e39-99fe-f61888f0d75a · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 1

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Observation 78d39772-171d-4e31-b79e-e5ac5b97e0f7 · outbound

This paper cites Video diffusion models.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Video diffusion models

Reference 2

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Observation 07a95b9f-2f2a-4da2-b39d-239f79cb0ab4 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 3

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Observation a5ab6475-7c12-4147-9bac-f001fe5b24c4 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 4

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Observation 76f408e3-95d5-4e37-93a6-cbf0f9df831e · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 5

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Observation b3e48d09-cc0c-41b1-999f-73260c4e54d7 · outbound

This paper cites Customvideo: Customizing text-to-video generation with multiple subjects.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Customvideo: Customizing text-to-video generation with multiple subjects

Reference 6

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Observation c785492b-bcdf-4d12-a3ec-55f18c3d6f3d · outbound

This paper cites MotionBooth: Motion-Aware Customized Text-to-Video Generation.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance MotionBooth: Motion-Aware Customized Text-to-Video Generation

Reference 7

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Observation b75c7cbe-ad8a-497d-8640-899999224a8f · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Motiondirector: Motion customization of text-to-video diffusion models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.353026Z

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Observation 7ba19844-e325-41db-92e5-24df4d2e3f03 · outbound

This paper cites Animate anyone: Consistent and controllable image-to-video synthesis for character animation.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Animate anyone: Consistent and controllable image-to-video synthesis for character animation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.345454Z

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Observation 3f468885-2d00-440a-9099-744d984e37b4 · outbound

This paper cites Magicanimate: Temporally consistent human image animation using diffusion model.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Magicanimate: Temporally consistent human image animation using diffusion model

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.337827Z

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Observation 45a2857e-4898-47f9-bf0f-431cd9abc91d · outbound

This paper cites MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

Reference 11

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Observation 31fc94d6-71dd-470b-b8e9-e45fbcc691e1 · outbound

This paper cites Champ: Controllable and consistent human image animation with 3d parametric guidance.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Champ: Controllable and consistent human image animation with 3d parametric guidance

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.330005Z

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 2739d20f-9d36-4919-aa1e-677e62e2673a · outbound

This paper cites Make-your-video: Customized video generation using textual and structural guidance.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Make-your-video: Customized video generation using textual and structural guidance

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.321993Z

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 01c7f21a-72b9-458b-b26b-aba33e550184 · outbound

This paper cites MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T10:09:43.518250Z

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Observation 1c797ab3-8445-4fae-b560-39b6c034f8fe · outbound

This paper cites Viggle ai mix application.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Viggle ai mix application

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.314811Z

Source-reported events for the cited work

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Observation 8aeb17a0-c554-41d3-99e3-de43e28e00aa · outbound

This paper cites Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T10:09:43.523735Z

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Observation 02423db4-62ee-4840-afe7-a3fce33eb8c1 · outbound

This paper cites MovieCharacter: A Tuning-Free Framework for Controllable Character Video Synthesis.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance MovieCharacter: A Tuning-Free Framework for Controllable Character Video Synthesis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T10:09:43.526234Z

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Observation 4b0dcfc4-bce7-443a-924e-dc57f8dedfc2 · outbound

This paper cites VACE: All-in-One Video Creation and Editing.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance VACE: All-in-One Video Creation and Editing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T10:09:43.529407Z

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Observation 28a7fb88-7238-4ce3-8049-a6aecda5531a · outbound

This paper cites Stablevideo: Text-driven consistency-aware diffusion video editing.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Stablevideo: Text-driven consistency-aware diffusion video editing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.307743Z

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Observation 0d711ce7-1dd0-4996-bb42-fb2b2a989cef · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance ControlVideo: Training-free Controllable Text-to-Video Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T10:09:43.533968Z

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Observation 8998f6b3-d74f-4ca4-8256-d72b856011e3 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Videocomposer: Compositional video synthesis with motion controllability

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.299407Z

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Observation 588128cc-da36-4b56-992b-4fbaf1df5763 · outbound

This paper cites ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance ID-Animator: Zero-Shot Identity-Preserving Human Video Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T10:09:43.538833Z

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Observation 133bb1ac-1285-406e-98ab-0ad747dfb0cd · outbound

This paper cites Dreamvideo: Composing your dream videos with customized subject and motion.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Dreamvideo: Composing your dream videos with customized subject and motion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.289508Z

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

Observation 5c7a73b5-8a44-4216-b2b1-8a9e4daac606 · outbound

This paper cites Direct-a-video: Customized video generation with user-directed camera movement and object motion.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Direct-a-video: Customized video generation with user-directed camera movement and object motion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.280754Z

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 1d34182c-527d-4e0c-9e30-02d8d6c13e82 · outbound

This paper cites Skinned motion retargeting with residual perception of motion semantics & geometry.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Skinned motion retargeting with residual perception of motion semantics & geometry

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.272662Z

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

Observation 8ac0de4d-1dd3-49cc-b77c-63d7038b41dc · outbound

This paper cites Skinned motion retargeting with dense geometric interaction perception.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Skinned motion retargeting with dense geometric interaction perception

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.264680Z

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

Observation 1644137c-46da-4416-a51c-df9bd7434c35 · outbound

This paper cites STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-08T10:09:43.787826Z

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Observation fe9624dd-cc4e-4219-b7ce-fb34c42f5030 · outbound

This paper cites Semantics-aware motion retargeting with vision-language models.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Semantics-aware motion retargeting with vision-language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.257059Z

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

Observation 21cc8a2a-da6d-48b9-ba72-8a57630157db · outbound

This paper cites Denoising diffusion probabilistic models.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Denoising diffusion probabilistic models

Reference 29

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Observation dcc93aff-2fd2-43ad-80b1-cb6f041a7cd8 · outbound

This paper cites Denoising Diffusion Implicit Models.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Denoising Diffusion Implicit Models

Reference 30

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Observation 04539f49-9b9e-48fd-95b5-77e9d656768c · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.243244Z

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Observation 7f3e7c96-2c1e-4f4e-9f69-15df16f83d97 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 32

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Observation 7e34eda2-a84e-4d83-8872-1d74b52ee52f · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 33

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Observation db68b3fa-dfed-4032-83b7-dd7e690ec050 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation

Reference 34

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Observation 23f2f4b2-a399-4b37-a5cd-b670dd12257a · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 35

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Observation ff15710d-5d38-4a39-9939-51666f77cd8c · outbound

This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Reference 36

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Observation c8143821-78a2-4aed-9ac4-329f936f0527 · outbound

This paper cites ControlNeXt: Powerful and Efficient Control for Image and Video Generation.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Reference 37

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Observation 6bc4adaf-b3fe-4fbc-9845-ae4377438903 · outbound

This paper cites MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion

Reference 38

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Unavailable: canonical work link unavailable.

Observation 173154f9-a629-48d6-a0a8-eb9e66d2a8a8 · outbound

This paper cites Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.235527Z

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Observation 6657a011-2137-4787-8c4c-349f312a4a19 · outbound

This paper cites Idol: Unified dual-modal latent diffusion for human-centric joint video-depth generation.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Idol: Unified dual-modal latent diffusion for human-centric joint video-depth generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.227812Z

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Observation d2696979-b1eb-43df-9d78-f992e2670669 · outbound

This paper cites Disco: Disentangled control for realistic human dance generation.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Disco: Disentangled control for realistic human dance generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.219944Z

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Observation a56ffbdb-9473-4515-96d2-1fb0558ae77d · outbound

This paper cites Pct-net: Full resolution image harmonization using pixel-wise color transformations.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Pct-net: Full resolution image harmonization using pixel-wise color transformations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.211993Z

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Observation ce5245aa-1c39-4d5c-a0c1-87f32efd8177 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.203050Z

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Observation 9379a311-7fbe-4196-aae6-b543035e6f56 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance SAM 2: Segment Anything in Images and Videos

Reference 44

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Observation bff1f2d9-8820-43a0-a7fd-fee33aaa3489 · outbound

This paper cites Learning transferable visual models from natural language supervision.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Learning transferable visual models from natural language supervision

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.193508Z

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Observation 377e2748-74df-4570-904e-f1922f1120ea · outbound

This paper cites Effective whole-body pose estimation with two- stages distillation.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Effective whole-body pose estimation with two- stages distillation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.184189Z

Source-reported events for the cited work

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Observation d97b8127-debc-4a96-87f6-79f45d5ea973 · outbound

This paper cites Auto-Encoding Variational Bayes.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Auto-Encoding Variational Bayes

Reference 47

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Source-reported events for the cited work

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Observation 1bdc50e4-2fd8-4f40-aefb-f00f7d0cbee1 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance High-resolution image synthesis with latent diffusion models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.174793Z

Source-reported events for the cited work

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Observation 9965cb9c-c3c4-4834-855a-a529074c5158 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.165580Z

Source-reported events for the cited work

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Observation f81aef8d-34d2-4561-a9a9-b3bf2f7f2e65 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Adding conditional control to text-to-image diffusion models

Reference 50

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Source-reported events for the cited work

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Observation 693cc1b1-63a5-4221-b1b0-af73716c0019 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 51

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Observation dedc8f4c-0a14-47e7-b577-eb394e9eb18b · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Exploring video quality assessment on user generated contents from aesthetic and technical perspectives

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.148957Z

Source-reported events for the cited work

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Observation cd98d7aa-a7f4-4c2e-9ab1-0bd5f5436a3c · outbound

This paper cites an unresolved cited work.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Unresolved cited work

Reference 53

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Observation 9b388917-7b58-4477-a601-a43182ccba04 · outbound

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

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T10:09:43.620169Z

Source-reported events for the cited work

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Observation 200ca902-8323-42a3-a804-d6279b9e6c54 · outbound

This paper cites Real-Time Flying Object Detection with YOLOv8.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Real-Time Flying Object Detection with YOLOv8

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T10:09:43.622997Z

Source-reported events for the cited work

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Observation 26f483c3-c27d-4ef3-a631-29132f553fae · outbound

This paper cites Edge: Editable dance generation from music.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Edge: Editable dance generation from music

Reference 56

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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 f2ea3f93-d6de-4b0a-b9be-6d572ca5a132 · outbound

This paper cites Classifier-free diffusion guidance.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Classifier-free diffusion guidance

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.121830Z

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 4683d6e2-86a7-4790-bda1-c59a61a91c69 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Pytorch: An imperative style, high-performance deep learning library

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:09:44.112644Z

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

Coverage vector

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Outbound references

Pith citing papers