wanyu/IteraTeR_v2 huggingface dataset:
Original: Automatic animation line art colorization is a challenging computer vision problem since line art is a highly sparse and abstracted information and there exists a strict requirement for the color and style consistency between frames.
Revised: Automatic animation line art colorization is a challenging computer vision problem since line art is a highly sparse and abstracted and there exists a strict requirement for the color and style consistency between frames.
Edit intent: clarity
Original:  Recently, a lot of GAN( Generative Adversarial Network  ) based image-to-image transfer method for single line art colorization has emerged.
Revised:  Recently, a lot of Generative Adversarial Network ) based image-to-image transfer method for single line art colorization has emerged.
Edit intent: coherence
Original:  Recently, a lot of GAN( Generative Adversarial Network  ) based image-to-image transfer method for single line art colorization has emerged.
Revised:  Recently, a lot of GAN( Generative Adversarial Network (GAN ) based image-to-image transfer method for single line art colorization has emerged.
Edit intent: clarity
Original:  Recently, a lot of GAN( Generative Adversarial Network  ) based image-to-image transfer method for single line art colorization has emerged.
Revised:  Recently, a lot of GAN( Generative Adversarial Network ) based image-to-image translation methods for single line art colorization has emerged.
Edit intent: clarity
Original:  Recently, a lot of GAN( Generative Adversarial Network  ) based image-to-image transfer method for single line art colorization has emerged.
Revised:  Recently, a lot of GAN( Generative Adversarial Network ) based image-to-image transfer method for single line art colorization have emerged.
Edit intent: fluency
Original:  They can generate perceptually appealing result conditioned on line art  .
Revised:  They can generate perceptually appealing results conditioned on line art .
Edit intent: fluency
Original:  They can generate perceptually appealing result conditioned on line art  .
Revised:  They can generate perceptually appealing result conditioned on line art images .
Edit intent: clarity
Original:  However, these methods can not be adopted to the task of animation colorization because of the lack of consideration of  in-between frame consistency.
Revised:  However, these methods can not be adopted for the purpose of animation colorization because of the lack of consideration of in-between frame consistency.
Edit intent: clarity
Original:  However, these methods can not be adopted to the task of animation colorization because of the lack of consideration of  in-between frame consistency.
Revised:  However, these methods can not be adopted to the task of animation colorization because there is a lack of consideration of in-between frame consistency.
Edit intent: coherence
Original:  However, these methods can not be adopted to the task of animation colorization because of the lack of consideration of  in-between frame consistency.
Revised:  However, these methods can not be adopted to the task of animation colorization because of the lack of consideration of the in-between frame consistency.
Edit intent: fluency
Original:  To address these challenges, we design a kind of matching model called CM(co-rrelation matching ) to align the colored reference in an learnable way and integrate the model into an U-Net structure generator in a coarse-to-fine manner.
Revised:  To address these challenges, we design a kind of correlation matching model (called CM ) to align the colored reference in an learnable way and integrate the model into an U-Net structure generator in a coarse-to-fine manner.
Edit intent: fluency
Original:  To address these challenges, we design a kind of matching model called CM(co-rrelation matching ) to align the colored reference in an learnable way and integrate the model into an U-Net structure generator in a coarse-to-fine manner.
Revised:  To address these challenges, we design a kind of matching model called CM(co-rrelation matching ) to align the colored reference in a learnable way and integrate the model into an U-Net structure generator in a coarse-to-fine manner.
Edit intent: fluency
Original:  To address these challenges, we design a kind of correlation matching  model (called CM ) to align the colored reference  in a learnable way and integrate the model into an U-Net structure generator in a coarse-to-fine manner.
Revised:  To address these challenges, we design a kind of correlation matching model (called CM ) to align the colored reference feature in a learnable way and integrate the model into an U-Net structure generator in a coarse-to-fine manner.
Edit intent: clarity
Original:  To address these challenges, we design a kind of correlation matching  model (called CM ) to align the colored reference  in a learnable way and integrate the model into an U-Net structure generator in a coarse-to-fine manner.
Revised:  To address these challenges, we design a kind of correlation matching model (called CM ) to align the colored reference in a learnable way and integrate the model into an U-Net based generator in a coarse-to-fine manner.
Edit intent: clarity
Original:  This enables the generator to reconstruct the layer-wise synchronized features from the deep semantic code to the content progressively.
Revised:  This enables the generator to transfer the layer-wise synchronized features from the deep semantic code to the content progressively.
Edit intent: clarity
Original:  The crisis informatics research community has developed several techniques and systems to process and classify big crisis data on social media.
Revised:  The crisis informatics research community has developed several techniques and systems to process and classify big crisis related data posted on social media.
Edit intent: clarity
Original:  However, due to a variety of different datasets used in the literature, it is not possible to compare the results and to measure the progress made towards better models for crisis classification .
Revised:  However, due to the dispersed nature of the datasets used in the literature, it is not possible to compare the results and to measure the progress made towards better models for crisis classification .
Edit intent: clarity
Original:  However, due to a variety of different datasets used in the literature, it is not possible to compare the results and to measure the progress made towards better models for crisis classification .
Revised:  However, due to a variety of different datasets used in the literature, it is not possible to compare the results and measure the progress made towards better models for crisis classification .
Edit intent: fluency
Original:  However, due to a variety of different datasets used in the literature, it is not possible to compare the results and to measure the progress made towards better models for crisis classification .
Revised:  However, due to a variety of different datasets used in the literature, it is not possible to compare the results and to measure the progress made towards better models for crisis informatics .
Edit intent: clarity
Original:  In this work, we attempt to bridge this gap by providing a standard crisis-related dataset .
Revised:  In this work, we attempt to bridge this gap by standardizing various existing crisis-related dataset .
Edit intent: clarity
Original:  In this work, we attempt to bridge this gap by providing a standard crisis-related dataset .
Revised:  In this work, we attempt to bridge this gap by providing a standard crisis-related datasets .
Edit intent: fluency
Original:  We consolidate labels of 8 annotated data sources and provide 166.1k and 141.5k tweets for informativeness and humanitarian classification tasks  .
Revised:  We consolidate labels of eight annotated data sources and provide 166.1k and 141.5k tweets for informativeness and humanitarian classification tasks .
Edit intent: fluency
Original: Time-critical analysis of social media streams is important for humanitarian organizations to plan rapid response during disasters.
Revised: Time-critical analysis of social media streams is important for humanitarian organizations for planing rapid response during disasters.
Edit intent: clarity
Original:  The crisis informatics \textit{ research community has developed several techniques and systems to process and classify big crisis related data posted on social media.
Revised:  The \textit{ research community has developed several techniques and systems to process and classify big crisis related data posted on social media.
Edit intent: clarity
Original:  The crisis informatics \textit{ research community has developed several techniques and systems to process and classify big crisis related data posted on social media.
Revised:  The crisis informatics \textit{ research community has developed several techniques and systems for processing and classifying big crisis-related data posted on social media.
Edit intent: fluency
Original:  However, due to the dispersed nature of the datasets used in the literature , it is not possible to compare the results and measure the progress made towards  better models for crisis informatics  .
Revised:  However, due to the dispersed nature of the datasets used in the literature , it is not possible to compare the results and measure the progress made towards building better models for crisis informatics .
Edit intent: clarity
Original:  However, due to the dispersed nature of the datasets used in the literature , it is not possible to compare the results and measure the progress made towards  better models for crisis informatics  .
Revised:  However, due to the dispersed nature of the datasets used in the literature , it is not possible to compare the results and measure the progress made towards better models for crisis informatics tasks .
Edit intent: clarity
Original:  In this work, we attempt to bridge this gap by standardizing various existing crisis-related datasets.
Revised:  In this work, we attempt to bridge this gap by combining various existing crisis-related datasets.
Edit intent: clarity
Original:  We consolidate labels of eight annotated data sources and provide 166.1k and 141.5k tweets for informativeness and humanitarian  classification tasks, respectively.
Revised:  We consolidate eight human-annotated datasets and provide 166.1k and 141.5k tweets for informativeness and humanitarian classification tasks, respectively.
Edit intent: clarity
Original:  We consolidate labels of eight annotated data sources and provide 166.1k and 141.5k tweets for informativeness and humanitarian  classification tasks, respectively.
Revised:  We consolidate labels of eight annotated data sources and provide 166.1k and 141.5k tweets for informativeness classification tasks, respectively.
Edit intent: clarity
Original:  We consolidate labels of eight annotated data sources and provide 166.1k and 141.5k tweets for informativeness and humanitarian  classification tasks, respectively.
Revised:  We consolidate labels of eight annotated data sources and provide 166.1k and 141.5k tweets for informativeness and humanitarian and classification tasks, respectively.
Edit intent: coherence
Original:  The consolidation results in a larger dataset that affords the ability to train more sophisticated models.
Revised:  We believe that the consolidated dataset will help train more sophisticated models.
Edit intent: clarity
Original:  To that end , we provide baseline results using CNN and BERT models .
Revised:  Moreover , we provide baseline results using CNN and BERT models .
Edit intent: coherence
Original: From home appliances to industrial enterprises, the \emph{Information and Communication Technology (ICT) industry is revolutionizing the world.
Revised: From home appliances to industrial enterprises, the \emph{Information and Communication Technology (ICT) industry is revolutionizing the world.
Edit intent: fluency
Original:  The 5G technology (i.e. mobile communication technology) dramatically increases network speed, enabling users to upload ultra high definition videos in real-time, which will generate a massive stream of big data.
Revised:  The 5G technology (i.e. mobile communication technology) dramatically increases network speed, enabling users to upload ultra high definition videos in real-time, which will generate a massive stream of big data.
Edit intent: fluency
Original:  The standard Kingman coalescent model on genealogies - timed trees that represent the ancestry of the sample - is used in a generative model of molecular sequence variation to infer evolutionary parameters.
Revised:  The Kingman coalescent is used in a generative model of molecular sequence variation to infer evolutionary parameters.
Edit intent: clarity
Original:  However, the state space of Kingman's genealogies grows superexponentially with sample size n, making inference computationally unfeasible already for small n.
Revised:  However, it is well understood that inference under this model does not scale well with sample size n, making inference computationally unfeasible already for small n.
Edit intent: clarity
Original:  We propose an  algorithm to calculate the likelihood efficiently and present a Bayesian nonparametric procedure to infer the population size trajectory.
Revised:  We propose an algorithm to calculate the likelihood and employ a Bayesian nonparametric procedure to infer the population size trajectory.
Edit intent: clarity
Original: The population recovery problem asks one to recover an unknown distribution over n-bit strings given query access to independent noisy samples of strings drawn from the distribution.
Revised: The population recovery problem asks one to recover an unknown distribution over n-bit strings given access to independent noisy samples of strings drawn from the distribution.
Edit intent: clarity
Original:  Recently, Ban et . al. [BCF+19] studied the problem where the unknown distribution over n-bit strings is known to be \ell-sparse for some fixed \ell, and the noise is induced through the deletion channel.
Revised:  Recently, Ban et . al. [BCF+19] studied the problem where the noise is induced through the deletion channel.
Edit intent: coherence
Original:  We also give the first algorithm with a runtime subexponential in n, which solves population recovery in \exp\big(O(n^{1/3}) \cdot \ell^3\big) samples and time.
Revised:  We also give the first algorithm with a runtime subexponential in n, solving population recovery in \exp\big(O(n^{1/3}) \cdot \ell^3\big) samples and time.
Edit intent: coherence
Original:  Notably, our dependence on n nearly matches the known upper bound  when \ell =  1  , and we reduce the dependence on \ell from doubly to nearly singly exponential.
Revised:  Notably, our dependence on n nearly matches the upper bound of when \ell = 1 , and we reduce the dependence on \ell from doubly to nearly singly exponential.
Edit intent: clarity
Original:  Notably, our dependence on n nearly matches the known upper bound  when \ell =  1  , and we reduce the dependence on \ell from doubly to nearly singly exponential.
Revised:  Notably, our dependence on n nearly matches the known upper bound when \ell = 1 , and we reduce the dependence on \ell from doubly to singly exponential.
Edit intent: fluency
Original: We introduce a general toolbox for precision control and complexity analysis of subdivision based algorithms in computational geometry.
Revised: We introduce a general toolbox for precision control and complexity analysis of subdivision-based algorithms in computational geometry.
Edit intent: fluency
Original:  We go beyond the worst-case by considering  smoothed analysis, and prove polynomial time complexity estimates for both interval arithmetic and finite precision versions of the Plantinga-Vegter algorithm .
Revised:  We go beyond the worst-case by considering smoothed analysis, and prove polynomial time complexity estimates for both interval arithmetic and finite-precision versions of the Plantinga-Vegter algorithm .
Edit intent: fluency
Original: Given a point in m-dimensional objective space, the local environment of a point can be partitioned into the incomparable, the dominated and the dominating region.
Revised: Given a point in m-dimensional objective space, the local environment of a point can be partitioned into the incomparable, the dominated and dominating region.
Edit intent: fluency
Original:  The ratio between the size of the incomparable region, and the dominated (and dominating)  decreases proportionally to 1/2^{m-1} . Due to this reason, it gets increasingly unlikely that dominating points can be found by random, isotropic mutations.
Revised:  The ratio between the size of the incomparable region, and the dominated (and dominating) region decreases proportionally to 1/2^{m-1} . Due to this reason, it gets increasingly unlikely that dominating points can be found by random, isotropic mutations.
Edit intent: fluency
Original:  As a remedy to stagnation of search in many objective optimization, in this paper, we suggest to enhance the Pareto dominance order by involving a convex obtuse dominance cone in the convergence phase of an evolutionary optimization algorithm.
Revised:  As a remedy to stagnation of search in many objective optimization, in this paper, we suggest to enhance the Pareto dominance order by involving an obtuse convex dominance cone in the convergence phase of an evolutionary optimization algorithm.
Edit intent: fluency
Original:  Computational experiments demonstrate the ability of the expanded cone technique to improve the performance of MOEAs on many-objective optimization problems.
Revised:  Computational experiments demonstrate the ability of these edge-rotated cones to improve the performance of MOEAs on many-objective optimization problems.
Edit intent: clarity
Original:  We find a peculiar structure of the optimal surrender strategy , which was undetected by previous (mostly numerical) studies on the same topic.
Revised:  We find a structure of the optimal surrender strategy , which was undetected by previous (mostly numerical) studies on the same topic.
Edit intent: clarity
Original:  We find a peculiar structure of the optimal surrender strategy , which was undetected by previous (mostly numerical) studies on the same topic.
Revised:  We find a peculiar structure of the optimal surrender strategy which was undetected by previous (mostly numerical) studies on the same topic.
Edit intent: fluency
Original: Scientists use a mathematical subject called topology to study the shapes of objects.
Revised: Scientists use a mathematical subject called 'topology' to study the shapes of objects.
Edit intent: fluency
Original:  While social distancing and isolation has been introduced widely  , more moderate contact reduction policies could become desirable owing to adverse social, psychological, and economic consequences of a complete or near-complete lockdown.
Revised:  While social distancing and isolation have been introduced widely , more moderate contact reduction policies could become desirable owing to adverse social, psychological, and economic consequences of a complete or near-complete lockdown.
Edit intent: fluency
Original:  While social distancing and isolation has been introduced widely  , more moderate contact reduction policies could become desirable owing to adverse social, psychological, and economic consequences of a complete or near-complete lockdown.
Revised:  While social distancing and isolation has been introduced widely , more moderate contact reduction policies become desirable owing to adverse social, psychological, and economic consequences of a complete or near-complete lockdown.
Edit intent: clarity
Original:  Adopting a novel social network approach, we evaluate the effectiveness of three targeted distancing strategies designed to 'keep the curve flat' and aid compliance in a post-lockdown world.
Revised:  Adopting a social network approach, we evaluate the effectiveness of three targeted distancing strategies designed to 'keep the curve flat' and aid compliance in a post-lockdown world.
Edit intent: clarity
Original:  Our models demonstrate that while social distancing measures clearly do flatten the curve, strategic reduction of contact can strongly increase their efficiency , introducing the possibility of allowing some social contact while keeping risks low.
Revised:  We demonstrate that strategic reduction of contact can strongly increase their efficiency , introducing the possibility of allowing some social contact while keeping risks low.
Edit intent: clarity
Original:  Our models demonstrate that while social distancing measures clearly do flatten the curve, strategic reduction of contact can strongly increase their efficiency , introducing the possibility of allowing some social contact while keeping risks low.
Revised:  Our models demonstrate that while social distancing measures clearly do flatten the curve, strategic reduction of contact can strongly increase the efficiency of social distancing measures , introducing the possibility of allowing some social contact while keeping risks low.
Edit intent: clarity
Original:  This approach provides empirical evidence which adds nuanced policy advice for effective social distancing that can mitigate adverse consequences of social isolation.
Revised:  This approach provides nuanced insights to policy makers for effective social distancing that can mitigate adverse consequences of social isolation.
Edit intent: clarity
Original:  This approach provides empirical evidence which adds nuanced policy advice for effective social distancing that can mitigate adverse consequences of social isolation.
Revised:  This approach provides empirical evidence which adds nuanced policy advice for effective social distancing that can mitigate negative consequences of social isolation.
Edit intent: clarity
Original: I am presenting a novel way to use SMT (Satisfiability Modulo Theory) to compute the tropical prevariety (resp. equilibrium) of a polynomial system  .
Revised: A novel way to use SMT (Satisfiability Modulo Theory) to compute the tropical prevariety (resp. equilibrium) of a polynomial system .
Edit intent: coherence
Original:  Furthermore, the new approach offers a way to compute at least parts of the solution if the polyhedral approach is infeasible.
Revised:  Furthermore, the new approach offers a way to compute parts of the solution if the polyhedral approach is infeasible.
Edit intent: clarity
Original:  Furthermore, the new approach offers a way to compute at least parts of the solution if the polyhedral approach is infeasible.
Revised:  Furthermore, the new approach offers a way to compute at least parts of the solution when the polyhedral approach is infeasible.
Edit intent: coherence
Original: The moral decisions we make during this period, such as deciding whether to comply to quarantine rules, have unprecedented societal effects.
Revised: The moral decisions we make during this period, such as deciding whether to comply with quarantine rules, have unprecedented societal effects.
Edit intent: fluency
Original:  The surprising influence of the actions of few individuals on societal dynamics challenges our cognitive expectations -- as in normal conditions,  few "cheaters" can be easily tolerated .
Revised:  The surprising influence of the actions of few individuals on societal dynamics challenges our cognitive expectations -- as in normal conditions, few "cheaters" .
Edit intent: clarity
Original:  An a posteriori error analysis based on fluxes reconstruction shows that the local adaptive method is robust in singularly perturbed regimes .
Revised:  Based on a flux reconstruction strategy, a posteriori error estimators free of undetermined constants for such a scheme are derived .
Edit intent: clarity
Original: A local adaptive discontinuous Galerkin method for convection-diffusion-reaction equations is introduced.
Revised: We introduce a local adaptive discontinuous Galerkin method for convection-diffusion-reaction equations is introduced.
Edit intent: coherence