Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm | Paper Citation Record

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This paper cites https://github.com/christophschuhmann/ improved-aesthetic-predictor.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm https://github.com/christophschuhmann/ improved-aesthetic-predictor

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm https://support.apple.com/en-us/106375

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This paper cites In: Advances in Neural Information Processing Systems (2016).

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Advances in Neural Information Processing Systems (2016)

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

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This paper cites In: IEEE International Conference on Computer Vision (2021).

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: IEEE International Conference on Computer Vision (2021)

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This paper cites MixMatch: A Holistic Approach to Semi-Supervised Learning.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm MixMatch: A Holistic Approach to Semi-Supervised Learning

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm https://www.scenedetect.com/

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This paper cites In: Proceedings of the British Machine Vision Conference (BMVC) (2021).

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the British Machine Vision Conference (BMVC) (2021)

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This paper cites In: ICASSP (2020).

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ICASSP (2020)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ICML (2023)

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This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm A Simple Framework for Contrastive Learning of Visual Representations

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024).

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024)

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This paper cites Improved Baselines with Momentum Contrastive Learning.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Improved Baselines with Momentum Contrastive Learning

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ACCV (2016)

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This paper cites In: ACCV Workshop (2016).

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ACCV Workshop (2016)

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This paper cites In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019).

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm org/abs/2401.11605

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ICASSP (2021)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proc

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: CVPR (2023) 10

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Saul, L., Weiss, Y ., Bottou, L

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This paper cites LTX-Video: Realtime Video Latent Diffusion.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm LTX-Video: Realtime Video Latent Diffusion

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Masked Autoencoders Are Scalable Vision Learners

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Momentum Contrast for Unsupervised Visual Representation Learning

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: NeurIPS (2020)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm LoRA: Low-Rank Adaptation of Large Language Models

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: NeurIPS (2022)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: British Machine Vision Conference (BMVC) (2022)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ICCV (2023)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: NAACL-HLT (2019)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Adam: A Method for Stochastic Optimization

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm semanticscholar.org/CorpusID:13874643

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm HunyuanVideo: A Systematic Framework For Large Video Generative Models

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Advances in Neural Information Processing Systems (2018)

Reference 39

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Temporal Ensembling for Semi-Supervised Learning

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ECCV (2022)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: CVPR Workshop on Content Generation (2023)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ICCV (2021)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: CVPR (2023) 11

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 46

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: NeurIPS (2023)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm IEEE/ACM Transactions on Audio, Speech, and Language Processing pp

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This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ArXiv (2024)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: CVPR (2016)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: AAAI Conference on Artificial Intelligence (AAAI) (2022)

Reference 52

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Movie Gen: A Cast of Media Foundation Models

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ICML (2021)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: CVPR (2022)

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Active Learning for Convolutional Neural Networks: A Core-Set Approach

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the Fifth Annual Workshop on Computational Learning Theory

Reference 57

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Reference 58

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This paper cites Prototypical Networks for Few-shot Learning.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Prototypical Networks for Few-shot Learning

Reference 59

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 60

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Reference 61

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Learning to Compare: Relation Network for Few-Shot Learning

Reference 62

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 63

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm OminiControl2: Efficient Conditioning for Diffusion Transformers

Reference 64

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Thirty-seventh Conference on Neural Information Processing Systems (2023), https://openreview

Reference 65

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This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 66

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Reference 67

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Reference 68

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Reference 69

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Reference 70

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Matching Networks for One Shot Learning

Reference 71

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Wan: Open and Advanced Large-Scale Video Generative Models

Reference 72

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Reference 73

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This paper cites Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models.

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

Reference 74

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Reference 75

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

Reference 76

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Reference 77

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm SimMIM: A Simple Framework for Masked Image Modeling

Reference 78

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 79

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: International Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

Reference 80

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Reference 81

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: ICLR (2023)

Reference 82

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the European Conference on Computer Vision (ECCV) (2024) 13

Reference 83

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Observation 214502c9-84f1-4544-ac4f-0fa375a89aa4 · outbound

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: IEEE International Conference on Computer Vision (ICCV) (2023)

Reference 84

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm MotionDirector: Motion Customization of Text-to-Video Diffusion Models

Reference 85

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: AAAI Conference on Artificial Intelligence (AAAI) (2019)

Reference 86

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Observation 0170c676-226a-4648-8ce7-dd88d0c0b6d5 · outbound

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021)

Reference 87

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Observation 144686f3-f196-490a-8d93-01c6f68b33e9 · outbound

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Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 88

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