human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "3d face reconstruction using color photometric stereo with uncalibrated near point lights"):
  Abstract: We present a new color photometric stereo (CPS) method that can recover high quality, detailed 3D face geometry in a single shot. Our system uses three uncalibrated near point lights of different colors and a single camera. We first utilize 3D morphable model (3DMM) and semantic segmentation of facial parts to achieve robust self-calibration of light sources. We then address the spectral ambiguity problem by incorporating albedo consensus, albedo similarity, and proxy prior into a unified framework. We avoid the need for spatial constancy of albedo and use a new measure for albedo similarity that is based on the albedo norm profile. Experiments show that our new approach produces state-of-the-art results in single image with high-fidelity geometry that includes details such as wrinkles.

Includes members:
  Member "3d face reconstruction with geometry details from a single image":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "audio driven talking face video generation with learning based personalized head pose")
  Member "sparse photometric 3d face reconstruction guided by morphable models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "high accuracy face geometry capture using a smartphone video")
  Member "led based photometric stereo modeling calibration and numerical solution":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "inferring super resolution depth from a moving light source enhanced rgb d sensor a variational approach")
  Member "extreme 3d face reconstruction seeing through occlusions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "face to parameter translation for game character auto creation")
  Member "unrestricted facial geometry reconstruction using image to image translation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the whole is greater than the sum of its nonrigid parts")
  Member "single image rgb photometric stereo with spatially varying albedo":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "robust photometric stereo via dictionary learning")
  Member "learning detailed face reconstruction from a single image":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the whole is greater than the sum of its nonrigid parts")
  Member "3d face reconstruction by learning from synthetic data":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the whole is greater than the sum of its nonrigid parts")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CV(Computer Vision and Pattern Recognition)