The Tsinghua University team has made breakthrough progress in the field of 3D reconstruction. The O²-Recon method proposed by it uses a 2D diffusion model to effectively solve the problem of object occlusion in the image and successfully reconstruct a complete 3D object. This method not only supports large-angle rotation and translation, but also has a wide range of application prospects, especially in the fields of AR/VR/MR and robotics. This research result provides new directions and possibilities for technological development in related fields, and its efficiency and practicality deserve attention.
The Tsinghua University team proposed the O²-Recon method, which uses a 2D diffusion model to complete occluded objects in the image and reconstructs complete three-dimensional objects through neural implicit surface fields. This method has made a major breakthrough in the field of 3D reconstruction, supports large-angle rotation and translation, and has broad application prospects, especially in the fields of AR/VR/MR and robotics. Paper link: https://arxiv.org/abs/2308.09591The emergence of the O²-Recon method provides new ideas for solving image occlusion problems, and also brings new possibilities to 3D reconstruction technology. Future development is worth looking forward to. The application of this method will promote technological progress in fields such as AR/VR/MR and robotics.