sponsored by the National Natural Science Foundation of China(Grant No.42075148);the High-Performance Computing Center of Nanjing University of Information Science & Technology for supporting this work。
Accurate skin temperature is one of the critical factors in successfully assimilating satellite radiance data over land.However,model-simulated skin temperature may not be accurate enough.To address this issue,an exte...
supported by the National Science and Technology Major Project,China(No.J2019-Ⅲ-0009-0053);the National Natural Science Foundation of China(No.12075319)。
In order to reconstruct and render the weak and repetitive texture of the damaged functional surface of aviation,an improved neural radiance field,named TranSR-NeRF,is proposed.In this paper,a data acquisition system ...
supported by the Jianghuai Meteorological Joint Project of Anhui Natural Science Foundation (Grant No.2208085UQ12)。
Warm-sector rainstorms are highly localized events, with weather systems and triggering mechanisms are not obvious,leading to limited forecasting capabilities in numerical models. Based on the ensemble Kalman filter(P...
supported by the National Key R&D Program of China under Grant No.2020YFB1709203;the National Natural Science Foundation of China under Grant Nos.62272275 and 62172220;the Shandong Provincial Natural Science Foundation of China under Grant No.ZR2020LZH016.
Global illumination(GI)plays a crucial role in rendering realistic results for virtual exhibitions,such as virtual car exhibitions.These scenarios usually include all-frequency bidirectional reflectance distribution f...
supported by National Natural Science Foundation of China(No.6247075018 and No.62322210);the Innovation Funding of ICT,CAS(No.E461020);Beijing Munici-pal Natural Science Foundation for Distinguished Young Scholars(No.JQ21013);Beijing Municipal Science and Technology Commission(No.Z231100005923031).
Recent advancements in the field have resulted in significant progress in achieving realistic head reconstruction and manipulation using neural radiance fields(NeRF).Despite these advances,capturing intricate facial d...
supported by the National Natural Science Foundation of China under Grants 62125102;the Beijing Natural Science Foundation under Grant JL23005;the Fundamental Research Funds for the Central Universities
Novel View Synthesis(NVS) is an important task for 3D interpretation in remote sensing scenes, which also benefits vicinagearth security by enhancing situational awareness capabilities. Recently, NVS methods based on ...
supported by the National Natural Science Foundation of China,with Fund Numbers 62272478,62102451;the National Defense Science and Technology Independent Research Project(Intelligent Information Hiding Technology and Its Applications in a Certain Field)and Science and Technology Innovation Team Innovative Research Project Research on Key Technologies for Intelligent Information Hiding”with Fund Number ZZKY20222102.
As neural radiance fields continue to advance in 3D content representation,the copyright issues surrounding 3D models oriented towards implicit representation become increasingly pressing.In response to this challenge...
supported by the National Natural Science Foundation of China(62322210);Beijing Municipal Natural Science Foundation for Distinguished Young Scholars(JQ21013);Beijing Municipal Science and Technology Commission(Z231100005923031);2023 Tencent AI Lab Rhino-Bird Focused Research Program.
The emergence of 3D Gaussian splatting(3DGS)has greatly accelerated rendering in novel view synthesis.Unlike neural implicit representations like neural radiance fields(NeRFs)that represent a 3D scene with position an...
supported by the Zhengzhou Collaborative Innovation Major Project under Grant No.20XTZX06013;the Henan Provincial Key Scientific Research Project of China under Grant No.22A520042。
Traditional neural radiance fields for rendering novel views require intensive input images and pre-scene optimization,which limits their practical applications.We propose a generalization method to infer scenes from ...