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CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
A collection of papers on neural field-based inverse rendering.
A generative speech model for daily dialogue.
https://arxiv.org/abs/2312.10807
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
Code for 3D-LLM: Injecting the 3D World into Large Language Models
A large-scale benchmark and learning environment.
Tetrahedron Splatting for 3D Generation (coming soon).
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Live Demo:https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC
A library to generate LaTeX expression from Python code.
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Real-Time Rendering 4th (RTR4) 参考文献合集典藏 | Collection of <Real-Time Rendering 4th (RTR4)> Bibliography / Reference
[ICLR 2024] Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
Continuous Remeshing For Inverse Rendering
[CVPR'24 Oral] Mip-Splatting: Alias-free 3D Gaussian Splatting
Physically based renderer with Path Tracing and Photon Mapping.
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models (CVPR 2024)