Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions | Paper Citation Record

Observation 5cc35740-117f-474b-be0b-660c42c5bf7d · outbound

This paper cites SMPL: A skinned multi-person linear model,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions SMPL: A skinned multi-person linear model,

Reference 1

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Observation 61a2e0e8-fd9c-4f60-8ca8-0b18bb95089d · outbound

This paper cites Temporal convolutional networks: A unified approach to action segmentation,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Temporal convolutional networks: A unified approach to action segmentation,

Reference 2

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This paper cites Generative adversarial nets,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Generative adversarial nets,

Reference 3

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This paper cites Auto-Encoding Variational Bayes.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Auto-Encoding Variational Bayes

Reference 4

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This paper cites Attention is all you need,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Attention is all you need,

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Observation 41abf6b0-e06e-4c2a-8300-06bfe9dceaac · outbound

This paper cites Denoising diffusion probabilistic models,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Denoising diffusion probabilistic models,

Reference 6

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Observation bf613d95-0fc0-48f6-801a-41ded2ecc734 · outbound

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

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Learning transferable visual models from natural language supervision,

Reference 7

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Observation 7a98cb35-02ea-40eb-b0d2-ec326d22362b · outbound

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

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Adding conditional control to text-to-image diffusion models,

Reference 8

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Observation 65d67f4e-40d1-4ef9-8ba3-8ca4d2dd01a5 · outbound

This paper cites Nerf: representing scenes as neural radiance fields for view synthesis,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Nerf: representing scenes as neural radiance fields for view synthesis,

Reference 9

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Observation df6590f5-ec60-4d73-a7ce-18ce87cb9309 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions 3d gaussian splatting for real-time radiance field rendering,

Reference 10

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Observation 37a569bc-1c8d-4806-b983-c4b0a7ec95f8 · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions A style-based generator architecture for generative adversarial networks,

Reference 11

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Observation aea91f83-6862-42d1-8942-7f5b375c46b9 · outbound

This paper cites DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation

Reference 12

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Observation 3198b04c-e6e2-405b-9cb3-5f3240daf14b · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Laion-5b: An open large-scale dataset for training next generation image-text models,

Reference 13

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Observation 50453e51-8688-46b6-9e5d-b4f878005e8b · outbound

This paper cites Microsoft coco: Common objects in context,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Microsoft coco: Common objects in context,

Reference 14

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Observation 8d914f89-5f1c-4720-9b9a-486a490e2573 · outbound

This paper cites Semantic understanding of scenes through the ade20k dataset,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Semantic understanding of scenes through the ade20k dataset,

Reference 15

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Observation dbf9f8a0-f2af-4e69-bd73-9c212942a509 · outbound

This paper cites WildAvatar: Learning In-the-wild 3D Avatars from the Web.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions WildAvatar: Learning In-the-wild 3D Avatars from the Web

Reference 16

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Observation f526564c-4e68-4478-a165-7af1c64c1dc5 · outbound

This paper cites Renderme-360: A large digital asset library and benchmarks towards high-fidelity head avatars,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Renderme-360: A large digital asset library and benchmarks towards high-fidelity head avatars,

Reference 17

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Observation 1d7c9244-ec57-445a-a1c5-fc50b15d7a08 · outbound

This paper cites FLAME: Free-form Language-based Motion Synthesis & Editing.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions FLAME: Free-form Language-based Motion Synthesis & Editing

Reference 18

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Observation 06b59d15-b339-4dc4-a2b1-0b0d29612dac · outbound

This paper cites Beat: A large- scale semantic and emotional multi-modal dataset for conversational gestures synthesis,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Beat: A large- scale semantic and emotional multi-modal dataset for conversational gestures synthesis,

Reference 19

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Observation 48edd1bd-93b1-4640-bd0c-206663578cbb · outbound

This paper cites Expressgesture: Expressive gesture generation from speech through database matching,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Expressgesture: Expressive gesture generation from speech through database matching,

Reference 20

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Observation cb281a09-8c4b-46b6-9ecb-2a8c122afb1f · outbound

This paper cites MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators

Reference 21

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Observation e3647784-a5ba-4933-94eb-a664132a4a18 · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 22

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Observation b71b6b62-e634-4366-a04b-6a257a3b6364 · outbound

This paper cites Dual-generator face reenactment,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Dual-generator face reenactment,

Reference 23

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Observation fb34edad-87ed-4a8e-b250-f4e7c0f0693d · outbound

This paper cites Designing one unified framework for high-fidelity face reenactment and swapping,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Designing one unified framework for high-fidelity face reenactment and swapping,

Reference 24

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Observation 207b69dc-33fd-4d5f-82e9-614f2f0708a1 · outbound

This paper cites Finding Directions in GAN's Latent Space for Neural Face Reenactment.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Finding Directions in GAN's Latent Space for Neural Face Reenactment

Reference 25

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Observation 0e97373e-4253-4bd5-8045-2729acf083d3 · outbound

This paper cites Face editing based on facial recognition features,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Face editing based on facial recognition features,

Reference 26

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Observation 30a283af-24cb-48d7-a663-00735def46c4 · outbound

This paper cites Hiface: High-fidelity 3d face reconstruction by learning static and dynamic details,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Hiface: High-fidelity 3d face reconstruction by learning static and dynamic details,

Reference 27

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Observation c96f4ac3-ad95-4298-8045-b08f9564e68e · outbound

This paper cites Controllable 3d generative adversarial face model via disentangling shape and appearance,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Controllable 3d generative adversarial face model via disentangling shape and appearance,

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Observation d853a364-9a2b-4989-afb1-92db240b48ef · outbound

This paper cites Towards Realistic Generative 3D Face Models.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Towards Realistic Generative 3D Face Models

Reference 29

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Observation a7885e5f-fdad-417b-a683-b89593a7a201 · outbound

This paper cites GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance

Reference 30

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Observation 01e61433-c7e3-411e-a9e2-ad4b0dea968f · outbound

This paper cites Adaptive nonlinear latent transformation for conditional face editing,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Adaptive nonlinear latent transformation for conditional face editing,

Reference 32

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This paper cites Stylet2i: Toward compositional and high-fidelity text-to-image synthesis,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Stylet2i: Toward compositional and high-fidelity text-to-image synthesis,

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Observation 45abf0da-8df0-4ac0-ad90-7e94f80ef9cc · outbound

This paper cites M$^3$Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions M$^3$Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing

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Observation c67eadca-0b9e-432c-819a-69642c37e604 · outbound

This paper cites Guidedstyle: Attribute knowledge guided style manipulation for semantic face editing,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Guidedstyle: Attribute knowledge guided style manipulation for semantic face editing,

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This paper cites Anyface: Free-style text-to-face synthesis and manipulation,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Anyface: Free-style text-to-face synthesis and manipulation,

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Observation db63c33f-33b8-4f1a-a308-a144f3df987d · outbound

This paper cites Joint audio-text model for expressive speech-driven 3d facial animation,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Joint audio-text model for expressive speech-driven 3d facial animation,

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Observation a5a15ac9-34b3-4b49-a057-9e18541b1cb9 · outbound

This paper cites Capture, learning, and synthesis of 3d speaking styles,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Capture, learning, and synthesis of 3d speaking styles,

Reference 38

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Observation f5b5748c-b2ba-422b-ba20-8892e9faa7c0 · outbound

This paper cites Meshtalk: 3d face animation from speech using cross-modality disentanglement,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Meshtalk: 3d face animation from speech using cross-modality disentanglement,

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Observation 0a674796-09c9-4d6f-b084-7c717ab935b8 · outbound

This paper cites CSTalk: Correlation Supervised Speech-driven 3D Emotional Facial Animation Generation.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions CSTalk: Correlation Supervised Speech-driven 3D Emotional Facial Animation Generation

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Observation 6f119f80-4d75-4826-8bf5-bb65e6ddee56 · outbound

This paper cites ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment

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Observation 2e26c9b7-f73d-47a1-ae68-945378157880 · outbound

This paper cites Personalized speech-driven expressive 3d facial animation synthesis with style control,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Personalized speech-driven expressive 3d facial animation synthesis with style control,

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Observation c9d0844e-93b9-4e29-aad8-4e3d9ccf4035 · outbound

This paper cites Faceformer: Speech-driven 3d facial animation with transformers,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Faceformer: Speech-driven 3d facial animation with transformers,

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Observation 61dc76ec-cd21-4049-8c5c-8886f11791b7 · outbound

This paper cites AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation

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Observation 78aaabbe-56dd-4a05-8fcb-c3a3fdf6dfed · outbound

This paper cites GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis

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Observation 08a4e630-1178-4d14-9d41-47bec8418459 · outbound

This paper cites Imitator: Personalized speech-driven 3d facial animation,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Imitator: Personalized speech-driven 3d facial animation,

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Observation 9df90102-100c-4afa-ac5c-4446ea65f223 · outbound

This paper cites Data-driven expressive 3d facial animation synthesis for digital humans,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Data-driven expressive 3d facial animation synthesis for digital humans,

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Observation 544ba1a1-a258-49c7-b645-87c37bf2052a · outbound

This paper cites Facexhubert: Text-less speech-driven e(x)pressive 3d facial animation synthesis using self-supervised speech representation learning,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Facexhubert: Text-less speech-driven e(x)pressive 3d facial animation synthesis using self-supervised speech representation learning,

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Observation 16441c09-abf5-4066-be6f-347f564e23b3 · outbound

This paper cites Facediffuser: Speech-driven 3d facial animation synthesis using diffusion,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Facediffuser: Speech-driven 3d facial animation synthesis using diffusion,

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Observation 78822822-c3c5-4bda-bef8-02231328038d · outbound

This paper cites Diffusestylegesture: Stylized audio-driven co-speech gesture generation with diffusion models,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Diffusestylegesture: Stylized audio-driven co-speech gesture generation with diffusion models,

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Observation 5f76904f-582e-434f-9d67-7862766ac9d1 · outbound

This paper cites Neural face rigging for animating and retargeting facial meshes in the wild,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Neural face rigging for animating and retargeting facial meshes in the wild,

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Observation c8f6127e-7056-434a-ae68-aa78af43304e · outbound

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

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion,

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Observation 91e7a704-fdce-4a21-ac15-704abfc82171 · outbound

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

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion

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Observation 25eca601-5c5c-47f7-82c8-f0ee636955aa · outbound

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

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions DisCo: Disentangled Control for Realistic Human Dance Generation

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Observation de14cd8c-7821-43d5-9f86-7fce0d3fd82e · outbound

This paper cites Generating holistic 3d human motion from speech,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Generating holistic 3d human motion from speech,

Reference 55

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Observation df6633ca-f24a-4583-bc99-28b8cbe45258 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Photorealistic text-to-image diffusion models with deep language understanding,

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Observation a6de2b33-f50a-4e3b-a3cb-52ae6205bea6 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

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Observation 426cc92d-ea12-4d21-a763-e6691def2528 · outbound

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

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions High-resolution image synthesis with latent diffusion models,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Svdiff: Compact parameter space for diffusion fine-tuning,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Uncovering the disentanglement capability in text-to-image diffusion models,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Instructpix2pix: Learning to follow image editing instructions,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Sine: Single image editing with text-to-image diffusion models,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Null-text inversion for editing real images using guided diffusion models,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Imagic: Text-based real image editing with diffusion models,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Unified concept editing in diffusion models,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Kosmos-G: Generating Images in Context with Multimodal Large Language Models

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Avatarclip: zero-shot text-driven generation and animation of 3d avatars,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Neus: learning neural implicit surfaces by volume rendering for multi-view reconstruction,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Zero-shot text-guided object generation with dream fields,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Text2Mesh: Text-Driven Neural Stylization for Meshes

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Arch: Animatable reconstruction of clothed humans,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions ARCH++: Animation-Ready Clothed Human Reconstruction Revisited

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions TADA! Text to Animatable Digital Avatars

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Getavatar: Generative textured meshes for animatable human avatars,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Humannerf: Free-viewpoint rendering of moving people from monocular video,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Vid2avatar: 3d avatar reconstruction from videos in the wild via self-supervised scene decomposition,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Dreamhuman: Animatable 3d avatars from text,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Text-Conditional Contextualized Avatars For Zero-Shot Personalization

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Dreamavatar: Text-and-shape guided 3d human avatar generation via diffusion models,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Dreamwaltz: Make a scene with complex 3d animatable avatars,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Evaluating emotive character animations created with procedural animation,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Practice and Theory of Blendshape Facial Models,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Beat: the behavior expression animation toolkit,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Learning individual styles of conversational gesture,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Taming diffusion models for audio-driven co-speech gesture generation,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Gesturemaster: Graph-based speech-driven gesture generation,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Dim-gesture: Co-speech gesture generation with adaptive layer normalization mamba-2 framework,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions AMUSE: Emotional speech-driven 3D body animation via disentangled latent diffusion,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Freetalker: Controllable speech and text-driven gesture generation based on diffusion models for enhanced speaker naturalness,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions DiM-Gesture: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2 framework

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Gesticulator: A framework for semantically-aware speech-driven gesture generation,

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions Diffugesture: Generating human gesture from two-person dialogue with diffusion models,

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