Self-determination Theory categorises motivation into three broad types： amotivation, extrinsic motivation, and intrinsic motivation according to the level of self-determination. This theory argues that people＇s mot...Self-determination Theory categorises motivation into three broad types： amotivation, extrinsic motivation, and intrinsic motivation according to the level of self-determination. This theory argues that people＇s motivation is a developmental process across time and place. Furthermore, it emphasizes that three basic psychological needs--a need for competence, a need for autonomy, and a need for relatedness--are the nutriments of motivation. Thus, as this theory not only concerns the type of motivation, but also the circumstances that promote and maintain motivation, it offers insight to the nature of lecturers＇ motivation. It is claimed to be one of the most influential theories in contemporary motivation psychology展开更多
On March 4, President Xi Jinping, also General Secretary of the Communist Party of China （CPC） Central Committee, attended a joint panel discussion with political advisors from the China Democratic League and the ...On March 4, President Xi Jinping, also General Secretary of the Communist Party of China （CPC） Central Committee, attended a joint panel discussion with political advisors from the China Democratic League and the China Zhi Gong Party, those without party affiliation and those from the sector of returned over seas Chinese.展开更多
1.Basic FeaturesThe Wangling new district lies inJiuxianqiao district in northeastern Beijing,with the Capital Airport and Jingshun Roadto the east, the Beixiao River to the north,the planned Fourth Ring Road to the s...1.Basic FeaturesThe Wangling new district lies inJiuxianqiao district in northeastern Beijing,with the Capital Airport and Jingshun Roadto the east, the Beixiao River to the north,the planned Fourth Ring Road to the south,and the Nanhuqu Road to the west(Plan 1).The planning area will occupy 860展开更多
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 ...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 input images and perform high-quality rendering without pre-scene optimization named SG-NeRF(Sparse-Input Generalized Neural Radiance Fields).Firstly,we construct an improved multi-view stereo structure based on the convolutional attention and multi-level fusion mechanism to obtain the geometric features and appearance features of the scene from the sparse input images,and then these features are aggregated by multi-head attention as the input of the neural radiance fields.This strategy of utilizing neural radiance fields to decode scene features instead of mapping positions and orientations enables our method to perform cross-scene training as well as inference,thus enabling neural radiance fields to generalize for novel view synthesis on unseen scenes.We tested the generalization ability on DTU dataset,and our PSNR(peak signal-to-noise ratio)improved by 3.14 compared with the baseline method under the same input conditions.In addition,if the scene has dense input views available,the average PSNR can be improved by 1.04 through further refinement training in a short time,and a higher quality rendering effect can be obtained.展开更多
文摘Self-determination Theory categorises motivation into three broad types： amotivation, extrinsic motivation, and intrinsic motivation according to the level of self-determination. This theory argues that people＇s motivation is a developmental process across time and place. Furthermore, it emphasizes that three basic psychological needs--a need for competence, a need for autonomy, and a need for relatedness--are the nutriments of motivation. Thus, as this theory not only concerns the type of motivation, but also the circumstances that promote and maintain motivation, it offers insight to the nature of lecturers＇ motivation. It is claimed to be one of the most influential theories in contemporary motivation psychology
文摘On March 4, President Xi Jinping, also General Secretary of the Communist Party of China （CPC） Central Committee, attended a joint panel discussion with political advisors from the China Democratic League and the China Zhi Gong Party, those without party affiliation and those from the sector of returned over seas Chinese.
文摘1.Basic FeaturesThe Wangling new district lies inJiuxianqiao district in northeastern Beijing,with the Capital Airport and Jingshun Roadto the east, the Beixiao River to the north,the planned Fourth Ring Road to the south,and the Nanhuqu Road to the west(Plan 1).The planning area will occupy 860
基金supported by the Zhengzhou Collaborative Innovation Major Project under Grant No.20XTZX06013the Henan Provincial Key Scientific Research Project of China under Grant No.22A520042。
文摘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 input images and perform high-quality rendering without pre-scene optimization named SG-NeRF(Sparse-Input Generalized Neural Radiance Fields).Firstly,we construct an improved multi-view stereo structure based on the convolutional attention and multi-level fusion mechanism to obtain the geometric features and appearance features of the scene from the sparse input images,and then these features are aggregated by multi-head attention as the input of the neural radiance fields.This strategy of utilizing neural radiance fields to decode scene features instead of mapping positions and orientations enables our method to perform cross-scene training as well as inference,thus enabling neural radiance fields to generalize for novel view synthesis on unseen scenes.We tested the generalization ability on DTU dataset,and our PSNR(peak signal-to-noise ratio)improved by 3.14 compared with the baseline method under the same input conditions.In addition,if the scene has dense input views available,the average PSNR can be improved by 1.04 through further refinement training in a short time,and a higher quality rendering effect can be obtained.
