cwchenwang / awesome-4d-generation

List of papers on 4D Generation.

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Awesome 4D Generation

This repo collects papers for 4D generation.

4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models, Yu et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page

STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting, Chai et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion, Mou et al., CVPR 2024

πŸ“„ Paper | 🌐 Project Page

4Diffusion: Multi-view Video Diffusion Model for 4D Generation, Zhang et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models, Uzolas et al., Arxiv 2024

πŸ“„ Paper | πŸ’» Code

PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting, Miao et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page

Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D Generation, Fu et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page

Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models, Liang et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code | πŸŽ₯ Video

Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels, Wang et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page

MagicPose4D: Crafting Articulated Models with Appearance and Motion Control, Zhang et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer, Wu et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code | πŸŽ₯ Video

TC4D: Trajectory-Conditioned Text-to-4D Generation, Bahmani et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

Comp4D: LLM-Guided Compositional 4D Scene Generation, Xu et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code | πŸŽ₯ Video

STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians, Zetn et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation, Gao et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency, Yin et al., Arxiv 2023

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code | πŸŽ₯ Video

DreamGaussian4D: Generative 4D Gaussian Splatting, Ren et al., CVPR 2024

πŸ“„ Paper | 🌐 Project Page

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models, Ling et al., Arxiv 2023

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation, Wang et al., Arxiv 2023

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling, Bahmani et al., CVPR 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

A Unified Approach for Text- and Image-guided 4D Scene Generation, Zheng et al., CVPR 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

Animate124: Animating One Image to 4D Dynamic Scene, Zhao et al., Arxiv 2023

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

Consistent4D: Consistent 360Β° Dynamic Object Generation from Monocular Video, Jiang et al., Arxiv 2024

πŸ“„ Paper | 🌐 Project Page | πŸ’» Code

Text-To-4D Dynamic Scene Generation, Singer et al., Arxiv 2023

πŸ“„ Paper | 🌐 Project Page

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List of papers on 4D Generation.

License:MIT License