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+to+reconstruct+shapes+followed+by+non-rigid+registration+to+align+topology%252C+but+struggles+with+handling+noise+and+non-lambertian+surfaces.+Recently+neural+volume+rendering+techniques+have+been+rapidly+evolved+and+shown+great+advantages+in+3D+reconstruction+or+novel+view+synthesis.+Our+goal+is+to+leverage+the+superiority+of+neural+volume+rendering+into+multi-view+reconstruction+of+face+mesh+with+consistent+topology.+We+propose+a+mesh+volume+rendering+method+that+enables+directly+optimizing+mesh+geometry+while+preserving+topology%252C+and+learning+implicit+features+to+model+complex+facial+appearance+from+multi-view+images.+The+key+innovation+lies+in+spreading+sparse+mesh+features+into+the+surrounding+space+to+simulate+radiance+field+required+for+volume+rendering%252C+which+facilitates+backpropagation+of+gradients+from+images+to+mesh+geometry+and+implicit+appearance+features.+Our+proposed+feature+spreading+module+exhibits+deformation+invariance%252C+enabling+photorealistic+rendering+seamlessly+after+mesh+editing.+We+conduct+experiments+on+multi-view+face+image+dataset+to+evaluate+the+reconstruction+and+implement+an+application+for+photorealistic+rendering+of+animated+face+mesh.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.db8bec75e0d178132e3a24f806ecf60d%3frik%3d2Zu8dkxv3snTzQ%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Face+Mesh+Topology&simid=608049975794545726&FORM=IRPRST&ck=B5A33B4CF4FF1AA32728E803A1878107&selectedIndex=19&itb=0)
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