Call for Papers: TPAMI Special Issue on "Generative AI in 3D Vision"
Ming-Hsuan Yang
Call for Papers: TPAMI Special Issue on "Generative AI in 3D Vision"
Dear Colleagues,
We are pleased to announce a Special Issue on "Generative AI in 3D Vision" in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). This special issue aims to bring together cutting-edge research in the field of 3D generative models and their applications.
Topics of interest include but are not limited to:
Advances in 3D generative models, such as GANs, VAEs, Autoregressive models, Diffusion models, Normalizing Flow, etc.
Innovations in 3D representations for GenAI, such as point clouds, meshes, voxels, neural fields, Gaussian splatting, multiplane images, etc.
3D reconstruction from single or sparse views
Novel view synthesis
3D human generation, reconstruction, and animation
3D from multi-modality, such as text, audio, etc.
Multi-view image generation from multi-modality, such as text, audio, etc.
4D (dynamic) generation and reconstruction
3D scene/object manipulation, such as instruction-based editing, drag-based editing, multi-object interaction, style transfer, etc.
Applications of 3D generative models in fields like virtual/augmented reality, gaming, film production, computer-aided design, Metaverse, robotics, and embodied AI
Large-scale 3D datasets
Evaluation metrics and benchmarks for 3D generative models
Efficiency and scalability of 3D generative models
Robustness and security of 3D generative models
Important Dates:
Manuscript submission deadline: July 15, 2024
First review notification: October 15, 2024
Revised manuscript submission: December 15, 2024
Final review notification: February 15, 2025
Final manuscript submission: March 15, 2025
Publication date: May 15, 2025
For more information, please visit https://genai3d.github.io.
We look forward to your submissions!
Best regards,
Deqing Sun, Xiangyu Xu, Siyu Tang, Angela Dai, Jiajun Wu, Katerina Fragkiadaki, Andrea Tagliasacchi, Christian Theobalt, and Ming-Hsuan Yang