MultiAnimate: A Unified Framework for Controllable Multi-Character Animation | Paper Citation Record

Observation 8751d113-8a0e-43c3-a75a-0f6583824f82 · outbound

This paper cites In: International Conference on Learning Representations (2022) 20.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: International Conference on Learning Representations (2022) 20

Reference 1

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Observation fb9d49c4-81bc-4f4f-a113-77948542ee48 · outbound

This paper cites In: Conference on Neural Information Processing Systems (NeurIPS) (2019).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: Conference on Neural Information Processing Systems (NeurIPS) (2019)

Reference 2

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Observation 94eb2185-17b4-4e95-bda3-f1bbf92ba332 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 3

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Observation 05f4797b-048f-44ed-b9cd-c8002524ae15 · outbound

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

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion

Reference 4

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Observation e98dcb02-6e28-4916-9794-6f4ae701a3b0 · outbound

This paper cites Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Reference 5

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Observation 23a16b95-6eb2-4918-98c7-5615e5455fbd · outbound

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

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

Reference 6

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Observation f292a748-9c51-4dd1-85d7-c5e9442549ca · outbound

This paper cites Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos

Reference 7

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Observation 396b4bf9-f480-40dc-9a40-9a3ad4580f81 · outbound

This paper cites In: arXiv (2023).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: arXiv (2023)

Reference 8

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Observation ca364be5-282b-4000-a094-0eb608c6fdec · outbound

This paper cites DisCo: Disentangled Control for Realistic Human Dance Generation.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation DisCo: Disentangled Control for Realistic Human Dance Generation

Reference 9

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Observation 69bf8520-d547-4870-baed-170494a060f4 · outbound

This paper cites In: European Conference on Computer Vision (ECCV) (2024).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: European Conference on Computer Vision (ECCV) (2024)

Reference 10

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Observation 8a80e48b-f955-47b4-a6bc-3de52fa4d35b · outbound

This paper cites DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion

Reference 11

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Observation b76c9221-53bc-4689-b2f1-279941ed0754 · outbound

This paper cites https://arxiv.org/abs/2410.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation https://arxiv.org/abs/2410

Reference 12

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Observation 7b34df4f-82db-4e46-a617-15c135758833 · outbound

This paper cites TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models

Reference 13

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Observation b53a1a05-2ca3-4cb3-9268-a84023e16e8e · outbound

This paper cites UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation

Reference 14

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Observation ec5c4722-4525-4759-a5eb-c64346de4cef · outbound

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

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 15

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Observation bad5af5f-a24a-4877-ac52-2527df3c6e06 · outbound

This paper cites International Conference on Learning Representations (2024).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation International Conference on Learning Representations (2024)

Reference 16

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Observation 81d3cf1e-e748-4b21-82a3-e63cd1cb315a · outbound

This paper cites Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling

Reference 17

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Observation b460dacb-df4b-409e-b991-a94370661312 · outbound

This paper cites https://arxiv.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation https://arxiv

Reference 18

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Observation 2ec83c94-718c-4152-a039-a764fee12446 · outbound

This paper cites Everybody Dance Now.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Everybody Dance Now

Reference 19

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Observation bb9c6483-2212-4e7c-b826-8f94d0934125 · outbound

This paper cites Exploring Dual-task Correlation for Pose Guided Person Image Generation.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Exploring Dual-task Correlation for Pose Guided Person Image Generation

Reference 20

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Observation 85010e96-76e6-4778-8bb4-ee7a9e3a0f42 · outbound

This paper cites Thin-Plate Spline Motion Model for Image Animation.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Thin-Plate Spline Motion Model for Image Animation

Reference 21

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Observation 1432a8a2-6fdb-485c-82de-af105dbb0a8f · outbound

This paper cites Motion Representations for Articulated Animation.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Motion Representations for Articulated Animation

Reference 22

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Observation d2f7dafb-ce39-4082-9505-5b201915bfa8 · outbound

This paper cites International Journal of Computer Vision128(5), 1398–1413 (2020).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation International Journal of Computer Vision128(5), 1398–1413 (2020)

Reference 23

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Observation f2b1b06e-c484-4e20-991a-7fd3950bcbf9 · outbound

This paper cites International Journal of Computer Vision128(3), 698–713 (2020).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation International Journal of Computer Vision128(3), 698–713 (2020)

Reference 24

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Observation 03bce50b-bc6c-47eb-9837-ed82195dd184 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation High-Resolution Image Synthesis with Latent Diffusion Models

Reference 25

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Observation df46c5d2-34ce-4a41-b28d-57bd8b24c0f2 · outbound

This paper cites Animate-X: Universal Character Image Animation with Enhanced Motion Representation.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Animate-X: Universal Character Image Animation with Enhanced Motion Representation

Reference 26

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Observation 0f2a8865-ec26-415c-9b37-c1d282a051d0 · outbound

This paper cites International Journal of Computer Vision133(3), 1277–1289 (2025).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation International Journal of Computer Vision133(3), 1277–1289 (2025)

Reference 27

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This paper cites International Journal of Computer Vision, 1–17 (2025).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation International Journal of Computer Vision, 1–17 (2025)

Reference 28

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This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 29

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Observation bcd92881-cb33-4c15-bc3f-75c204393629 · outbound

This paper cites In: Seminal Graphics Papers: Pushing the Boundaries, Volume 2, pp.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: Seminal Graphics Papers: Pushing the Boundaries, Volume 2, pp

Reference 30

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Observation f11b63fd-2fb9-47a7-9d48-e56e9141655d · outbound

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

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling

Reference 31

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Observation 4ec813ae-69b1-49ee-99c0-25573e9a3d17 · outbound

This paper cites Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models

Reference 32

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation https://arxiv.org/abs/2212

Reference 33

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation https://arxiv.org/abs/2404

Reference 34

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This paper cites In: SIGGRAPH Asia 2023 Conference Papers.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: SIGGRAPH Asia 2023 Conference Papers

Reference 35

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

Reference 36

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Reference 37

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation

Reference 38

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This paper cites UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization

Reference 39

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This paper cites International Journal of Computer Vision133(3), 1175–1194 (2025).

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation International Journal of Computer Vision133(3), 1175–1194 (2025)

Reference 40

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation zhao et al

Reference 41

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Reference 42

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Observation 10a3d97a-a75a-4ad3-b8a5-86dddc3f43d0 · outbound

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts

Reference 43

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 44

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Auto-Encoding Variational Bayes

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Neural Discrete Representation Learning

Reference 46

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 47

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Natalia Neverova: Densepose: Dense human pose estimation in the wild

Reference 48

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Observation 6bab886e-febb-48f3-bb07-678c262cade8 · outbound

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Reference 49

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation SAM 2: Segment Anything in Images and Videos

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation YOLOX: Exceeding YOLO Series in 2021

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This paper cites IEEE Transactions on Image Processing13(4), 600–612 (2004) https://doi.org/10.1109/TIP.2003.819861.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation IEEE Transactions on Image Processing13(4), 600–612 (2004) https://doi.org/10.1109/TIP.2003.819861

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Unresolved cited work

Reference 53

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

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This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Towards Accurate Generative Models of Video: A New Metric & Challenges

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 57

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Wan: Open and Advanced Large-Scale Video Generative Models

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Observation 84724ea8-8306-41c5-85a3-e81fa7437dfd · outbound

This paper cites FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing

Reference 59

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 60

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

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 61

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

MultiAnimate: A Unified Framework for Controllable Multi-Character Animation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 62

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MultiAnimate: A Unified Framework for Controllable Multi-Character Animation Scalable Diffusion Models with Transformers

Reference 63

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