General comments: We thank all the reviewers for their insightful comments, and their unanimous positive comments

Neural Information Processing Systems 

Our novelty has also been affirmed by R1, R2 and R4. However, we should clarify that (1) our work differs completely from MMD-GANs, and (2) although Ref [4] Our supplementary material includes the s.o.t.a. Below we discuss the reviewers' comments and will address all of them in the revision. Lipschitz constraint is not a necessity in our RCF-GAN. Please refer to our proof. Fig.4 in the paper shows the image reconstruction and interpolation, validating our superior performances on clear We will elaborate more upon this in the revision.

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