human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "unsupervised image to image translation with stacked cycle consistent adversarial networks"
  Abstract: Recent studies on unsupervised image-to-image translation have made a remarkable progress by training a pair of generative adversarial networks with a cycle-consistent loss. However, such unsupervised methods may generate inferior results when the image resolution is high or the two image domains are of significant appearance differences, such as the translations between semantic layouts and natural images in the Cityscapes dataset. In this paper, we propose novel Stacked Cycle-Consistent Adversarial Networks (SCANs) by decomposing a single translation into multi-stage transformations, which not only boost the image translation quality but also enable higher resolution image-to-image translations in a coarse-to-fine manner. Moreover, to properly exploit the information from the previous stage, an adaptive fusion block is devised to learn a dynamic integration of the current stage's output and the previous stage's output. Experiments on multiple datasets demonstrate that our proposed approach can improve the translation quality compared with previous single-stage unsupervised methods.

Connected through hyperedge HE-1 (induced by source paper "joint wasserstein distribution matching"):
  with members:
    - "unsupervised video to video translation"
    - "dual reconstruction nets for image super resolution with gradient sensitive loss"
    - "improving shape deformation in unsupervised image to image translation"
    - "improving gans using optimal transport"
    - "jointgan multi domain joint distribution learning with generative adversarial nets"
    - "unsupervised attention guided image to image translation"
    - "deep view morphing"
    - "quo vadis action recognition a new model and the kinetics dataset"

Connected through hyperedge HE-2 (induced by source paper "tailorgan making user defined fashion designs"):
  with members:
    - "lip movements generation at a glance"
    - "unsupervised image super resolution using cycle in cycle generative adversarial networks"
    - "sequential attention gan for interactive image editing via dialogue"
    - "viton an image based virtual try on network"
    - "texturegan controlling deep image synthesis with texture patches"
    - "a generative model of people in clothing"
    - "be your own prada fashion synthesis with structural coherence"
    - "unpaired image to image translation using cycle consistent adversarial networks"

Connected through hyperedge HE-3 (induced by source paper "attribute driven spontaneous motion in unpaired image translation"):
  with members:
    - "carigans unpaired photo to caricature translation"
    - "soft gated warping gan for pose guided person image synthesis"
    - "multimodal unsupervised image to image translation"
    - "sketchygan towards diverse and realistic sketch to image synthesis"
    - "improving shape deformation in unsupervised image to image translation"
    - "instance level facial attributes transfer with geometry aware flow"
    - "elegant exchanging latent encodings with gan for transferring multiple face attributes"
    - "semi parametric image synthesis"

Connected through hyperedge HE-4 (induced by source paper "landmark assisted cyclegan for cartoon face generation"):
  with members:
    - "cgans with projection discriminator"
    - "multimodal unsupervised image to image translation"
    - "improving shape deformation in unsupervised image to image translation"
    - "the contextual loss for image transformation with non aligned data"
    - "xgan unsupervised image to image translation for many to many mappings"
    - "drit diverse image to image translation via disentangled representations"
    - "image to image translation for domain adaptation"
    - "gans trained by a two time scale update rule converge to a nash equilibrium"

Connected through hyperedge HE-5 (induced by source paper "faceshapegene a disentangled shape representation for flexible face image editing"):
  with members:
    - "multimodal unsupervised image to image translation"
    - "modular generative adversarial networks"
    - "ganimation anatomically aware facial animation from a single image"
    - "encoder decoder with atrous separable convolution for semantic image segmentation"
    - "drit diverse image to image translation via disentangled representations"
    - "began boundary equilibrium generative adversarial networks"
    - "gans trained by a two time scale update rule converge to a nash equilibrium"
    - "adversarial variational bayes unifying variational autoencoders and generative adversarial networks"

Connected through hyperedge HE-6 (induced by source paper "latent translation crossing modalities by bridging generative models"):
  with members:
    - "gansynth adversarial neural audio synthesis"
    - "video to video synthesis"
    - "twin gan unpaired cross domain image translation with weight sharing gans"
    - "adversarial audio synthesis"
    - "a hierarchical latent vector model for learning long term structure in music"
    - "a universal music translation network"
    - "generative modeling using the sliced wasserstein distance"
    - "phrase based neural unsupervised machine translation"

Connected through hyperedge HE-7 (induced by source paper "towards generalizing sensorimotor control across weather conditions"):
  with members:
    - "deep drone racing learning agile flight in dynamic environments"
    - "multimodal unsupervised image to image translation"
    - "on evaluation of embodied navigation agents"
    - "knowledge distillation in generations more tolerant teachers educate better students"
    - "on offline evaluation of vision based driving models"
    - "sim4cv a photo realistic simulator for computer vision applications"
    - "modular vehicle control for transferring semantic information to unseen weather conditions using gans"
    - "virtual to real reinforcement learning for autonomous driving"

Connected through hyperedge HE-8 (induced by source paper "geometry consistent generative adversarial networks for one sided unsupervised domain mapping"):
  with members:
    - "augmented cyclegan learning many to many mappings from unpaired data"
    - "a unified feature disentangler for multi domain image translation and manipulation"
    - "probabilistic plant modeling via multi view image to image translation"
    - "mix and match networks encoder decoder alignment for zero pair image translation"
    - "multimodal unsupervised image to image translation"
    - "stereoscopic neural style transfer"
    - "one shot unsupervised cross domain translation"
    - "improving shape deformation in unsupervised image to image translation"

Question: Please tell me which class the center node 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)