Hasil untuk "Style. Composition. Rhetoric"

Kerui Chen, Jianrong Zhang, Ming Li et al.

Existing stylized motion generation models have shown their remarkable ability to understand specific style information from the style motion, and insert it into the content motion. However, capturing intra-style diversity, where a single style should correspond to diverse motion variations, remains a significant challenge. In this paper, we propose a clustering-based framework, ClusterStyle, to address this limitation. Instead of learning an unstructured embedding from each style motion, we leverage a set of prototypes to effectively model diverse style patterns across motions belonging to the same style category. We consider two types of style diversity: global-level diversity among style motions of the same category, and local-level diversity within the temporal dynamics of motion sequences. These components jointly shape two structured style embedding spaces, i.e., global and local, optimized via alignment with non-learnable prototype anchors. Furthermore, we augment the pretrained text-to-motion generation model with the Stylistic Modulation Adapter (SMA) to integrate the style features. Extensive experiments demonstrate that our approach outperforms existing state-of-the-art models in stylized motion generation and motion style transfer.

Jingwen Li, Aravind Chandrasekar, Mariana Rocha et al.

We present a novel approach for controllable, region-specific style editing driven by textual prompts. Building upon the state-space style alignment framework introduced by \emph{StyleMamba}, our method integrates a semantic segmentation model into the style transfer pipeline. This allows users to selectively apply text-driven style changes to specific segments (e.g., ``turn the building into a cyberpunk tower'') while leaving other regions (e.g., ``people'' or ``trees'') unchanged. By incorporating region-wise condition vectors and a region-specific directional loss, our method achieves high-fidelity transformations that respect both semantic boundaries and user-driven style descriptions. Extensive experiments demonstrate that our approach can flexibly handle complex scene stylizations in real-world scenarios, improving control and quality over purely global style transfer methods.

Hsiao-Yuan Chin, I-Chao Shen, Yi-Ting Chiu et al.

The ability to automatically complete a partial sketch that depicts a complex scene, e.g., "a woman chatting with a man in the park", is very useful. However, existing sketch generation methods create sketches from scratch; they do not complete a partial sketch in the style of the original. To address this challenge, we introduce AutoSketch, a styleaware vector sketch completion method that accommodates diverse sketch styles. Our key observation is that the style descriptions of a sketch in natural language preserve the style during automatic sketch completion. Thus, we use a pretrained vision-language model (VLM) to describe the styles of the partial sketches in natural language and replicate these styles using newly generated strokes. We initially optimize the strokes to match an input prompt augmented by style descriptions extracted from the VLM. Such descriptions allow the method to establish a diffusion prior in close alignment with that of the partial sketch. Next, we utilize the VLM to generate an executable style adjustment code that adjusts the strokes to conform to the desired style. We compare our method with existing methods across various sketch styles and prompts, performed extensive ablation studies and qualitative and quantitative evaluations, and demonstrate that AutoSketch can support various sketch scenarios.

Chanda Grover Kamra, Indra Deep Mastan, Debayan Gupta

We propose ObjMST, an object-focused multimodal style transfer framework that provides separate style supervision for salient objects and surrounding elements while addressing alignment issues in multimodal representation learning. Existing image-text multimodal style transfer methods face the following challenges: (1) generating non-aligned and inconsistent multimodal style representations; and (2) content mismatch, where identical style patterns are applied to both salient objects and their surrounding elements. Our approach mitigates these issues by: (1) introducing a Style-Specific Masked Directional CLIP Loss, which ensures consistent and aligned style representations for both salient objects and their surroundings; and (2) incorporating a salient-to-key mapping mechanism for stylizing salient objects, followed by image harmonization to seamlessly blend the stylized objects with their environment. We validate the effectiveness of ObjMST through experiments, using both quantitative metrics and qualitative visual evaluations of the stylized outputs. Our code is available at: https://github.com/chandagrover/ObjMST.

Stefania Sini

This article presents some synthetic reflections on the notion of rhythm developed in Yuri Tynianov’s The Problem of Verse Language (1924), with particular attention to the relationship between the conception of the work unity and its peculiar space-time configuration, the status of flow and energy, the role of reception, and the copresence of the motoric and the phenomenological approaches.

Fabian Erhardt

From the perspective of rhetorical theory, knowledge is primarily the result of a communicative dynamic of asserting and contesting claims to validity according to a range of normative criteria. This dynamic unfolds within a heterogeneous plurality of language games. Jean-François Lyotard characterizes this condition as a form of “general agonistics,” drawing on both philosophical and sophistic traditions. Against the backdrop of this general agonistics and Hans Blumenberg’s interpretation of Edmund Husserl’s theory of the lifeworld (Lebenswelt), the concept of doxa is examined and reconstructed as a fundamental rhetorical category for understanding the formation and justification of knowledge. Doxai emerge as plausibility potentials that can be assumed in concrete conflicts and serve as the basis for determining criteria of validity capable of communicatively addressing the conflict at hand. This becomes especially crucial in situations where validity conflicts cannot be resolved by reference to the normative frameworks of a single language game.

Anand Kumar, Jiteng Mu, Nuno Vasconcelos

Text-to-image (T2I) models have recently gained widespread adoption. This has spurred concerns about safeguarding intellectual property rights and an increasing demand for mechanisms that prevent the generation of specific artistic styles. Existing methods for style extraction typically necessitate the collection of custom datasets and the training of specialized models. This, however, is resource-intensive, time-consuming, and often impractical for real-time applications. We present a novel, training-free framework to solve the style attribution problem, using the features produced by a diffusion model alone, without any external modules or retraining. This is denoted as Introspective Style attribution (IntroStyle) and is shown to have superior performance to state-of-the-art models for style attribution. We also introduce a synthetic dataset of Artistic Style Split (ArtSplit) to isolate artistic style and evaluate fine-grained style attribution performance. Our experimental results on WikiArt and DomainNet datasets show that \ours is robust to the dynamic nature of artistic styles, outperforming existing methods by a wide margin.

Jaeseok Jeong, Junho Kim, Yunjey Choi et al.

In the evolving domain of text-to-image generation, diffusion models have emerged as powerful tools in content creation. Despite their remarkable capability, existing models still face challenges in achieving controlled generation with a consistent style, requiring costly fine-tuning or often inadequately transferring the visual elements due to content leakage. To address these challenges, we propose a novel approach, \ours, to produce a diverse range of images while maintaining specific style elements and nuances. During the denoising process, we keep the query from original features while swapping the key and value with those from reference features in the late self-attention layers. This approach allows for the visual style prompting without any fine-tuning, ensuring that generated images maintain a faithful style. Through extensive evaluation across various styles and text prompts, our method demonstrates superiority over existing approaches, best reflecting the style of the references and ensuring that resulting images match the text prompts most accurately. Our project page is available https://curryjung.github.io/VisualStylePrompt/.

Victor Kitov, Valentin Abramov, Mikhail Akhtyrchenko

We present a new dataset with the goal of advancing image style transfer - the task of rendering one image in the style of another image. The dataset covers various content and style images of different size and contains 10.000 stylizations manually rated by three annotators in 1-10 scale. Based on obtained ratings, we find which factors are mostly responsible for favourable and poor user evaluations and show quantitative measures having statistically significant impact on user grades. A methodology for creating style transfer datasets is discussed. Presented dataset can be used in automating multiple tasks, related to style transfer configuration and evaluation.

Chenxi Liu, Gan Sun, Wenqi Liang et al.

Pre-trained large text-to-image (T2I) models with an appropriate text prompt has attracted growing interests in customized images generation field. However, catastrophic forgetting issue make it hard to continually synthesize new user-provided styles while retaining the satisfying results amongst learned styles. In this paper, we propose MuseumMaker, a method that enables the synthesis of images by following a set of customized styles in a never-end manner, and gradually accumulate these creative artistic works as a Museum. When facing with a new customization style, we develop a style distillation loss module to extract and learn the styles of the training data for new image generation. It can minimize the learning biases caused by content of new training images, and address the catastrophic overfitting issue induced by few-shot images. To deal with catastrophic forgetting amongst past learned styles, we devise a dual regularization for shared-LoRA module to optimize the direction of model update, which could regularize the diffusion model from both weight and feature aspects, respectively. Meanwhile, to further preserve historical knowledge from past styles and address the limited representability of LoRA, we consider a task-wise token learning module where a unique token embedding is learned to denote a new style. As any new user-provided style come, our MuseumMaker can capture the nuances of the new styles while maintaining the details of learned styles. Experimental results on diverse style datasets validate the effectiveness of our proposed MuseumMaker method, showcasing its robustness and versatility across various scenarios.

Julien Cueille

Many experts on conspiracy theory reduce the phenomenon to its rational, cognitive dimension. 1Yet the aesthetic dimension and narrative pleasure are obvious in conspiracist discourse, whose rhetoric closely follows the codes of popular fiction. Have we not underestimated the quest to “please”? We postulate a continuity between audiences’ attitudes to fiction and to “conspiracy theories”, which have become relatively indistinguishable in the contemporary context of information overload. Umberto Eco’s work is particularly illuminating in this respect, as it focuses on the indistinguishability of the true and the plausible, and metalepsis as a transgression of the fictional pact. The reception of two of his major “conspiracy” novels, Foucault’s Pendulum and The Prague Cemetery, reveals an emancipation of the metaleptic trope: the novelist, although known for his anti-fascism, finds himself accused of complacency towards anti-Semitism.

Roselyne Koren

These critical reflections focus on the status that one of the founders of the French trend of Discourse Analysis, Patrick Charaudeau, attributes to argumentative rhetoric in the language sciences. Although it is mentioned in his 2023 book, rhetoric does not feature in the main inventories of the various currents of linguistics. The author also analyzes some of the major strategies employed by the speaking subject, which have always played a fundamental role in argumentative rhetoric and, more specifically, in Perelman’s New Rhetoric, without referring to them. The aim here is not only to problematize these epistemic paradoxes, but also to show how rhetoric could contribute to enriching three of the key notions of this book: the holistic function of the communication contract; the defense of the existence of a partial, but irrefutable autonomy of the speaking subject and its double: the interpreting subject; and the notion of influence.

I. Mavrodieva

Abstract: This paper presents the results of an analysis of a dialogue between a human and a chatbot on rhetorical topics. The problematic has a topicality that is new in the study of an understudied field, namely the communication in a mini-virtual community between a human and GhatGTP. The first focus is on analyzing linguistic and rhetorical features of answering questions posed by the researcher, who is also a participant in the dialogue. The second focus is on the ways in which the results of the search for rhetoric-related information are presented and structured by the chatbot. The third focus is on the ways in which the chatbot identifies itself using algorithms and pre-prepared information by experts from different fields and how it verbalizes and self-assesses it. The first hypothesis is that from a linguistic point of view the chatbot uses terms; does not allow figurative language, realizes an informative function; structures short texts of good logical consistency, which are dominated by the statement of previously presented information. The second hypothesis is related to rhetorical themes and canons and it is that the chatbot successfully realizes two rhetorical canons (invention and composition) searching for information from accessible online sources, selects and structures facts into popular level. The paper tests a research approach, conventionally called auto-cyberethnographic monitoring, which combines the cyberethnographic method with autoethnography. The text does not aim at providing exhaustive information, it is oriented towards establishing the possibilities of delineating a new scientific field of research that presupposes an interdisciplinary approach and modern research methods. Keywords: rhetoric, rhetorical canons, language, dialogue, Chatbot GPT, cyberethnographic method, autoethnography, auto-cyberethnographic monitoring. Rhetoric and Communications Journal, issue 56, July 2023

Yi-Chun Chen, Arnav Jhala

We investigate the challenges of style transfer in multi-modal visual narratives. Among static visual narratives such as comics and manga, there are distinct visual styles in terms of presentation. They include style features across multiple dimensions, such as panel layout, size, shape, and color. They include both visual and text media elements. The layout of both text and media elements is also significant in terms of narrative communication. The sequential transitions between panels are where readers make inferences about the narrative world. These feature differences provide an interesting challenge for style transfer in which there are distinctions between the processing of features for each modality. We introduce the notion of comprehension-preserving style transfer (CPST) in such multi-modal domains. CPST requires not only traditional metrics of style transfer but also metrics of narrative comprehension. To spur further research in this area, we present an annotated dataset of comics and manga and an initial set of algorithms that utilize separate style transfer modules for the visual, textual, and layout parameters. To test whether the style transfer preserves narrative semantics, we evaluate this algorithm through visual story cloze tests inspired by work in computational cognition of narrative systems. Understanding the connection between style and narrative semantics provides insight for applications ranging from informational brochure designs to data storytelling.

Annafrancesca Naccarato

This essay combines the notions of creative paratopy and discursive ethos in order to shed light on aspects of the work of Benjamin Fondane, a Jewish writer of Romanian origin who chose French as his language of writing. Le Mal des fantômes, a collection of poems written in his adopted language, integrates the various dimensions of creative paratopy : in addition to the paratopy of identity, which in some cases becomes “maximal”, there is a spatial paratopy, a temporal paratopy and a linguistic paratopy. The analysis focuses on his poem Ulysse, which representatively includes most of his typologies, and shows that this unstable and erratic “localisation” is involved in the emergence of a “physicality” and a “character” which belong to a specific “ethical world” and point to “a dynamic of positioning” which is spread over several planes at the same time.

Furkan Kınlı, Doğa Yılmaz, Barış Özcan et al.

Style may refer to different concepts (e.g. painting style, hairstyle, texture, color, filter, etc.) depending on how the feature space is formed. In this work, we propose a novel idea of interpreting the lighting in the single- and multi-illuminant scenes as the concept of style. To verify this idea, we introduce an enhanced auto white-balance (AWB) method that models the lighting in single- and mixed-illuminant scenes as the style factor. Our AWB method does not require any illumination estimation step, yet contains a network learning to generate the weighting maps of the images with different WB settings. Proposed network utilizes the style information, extracted from the scene by a multi-head style extraction module. AWB correction is completed after blending these weighting maps and the scene. Experiments on single- and mixed-illuminant datasets demonstrate that our proposed method achieves promising correction results when compared to the recent works. This shows that the lighting in the scenes with multiple illuminations can be modeled by the concept of style. Source code and trained models are available on https://github.com/birdortyedi/lighting-as-style-awb-correction.

Yousef El-Laham, Svitlana Vyetrenko

Neural style transfer is a powerful computer vision technique that can incorporate the artistic "style" of one image to the "content" of another. The underlying theory behind the approach relies on the assumption that the style of an image is represented by the Gram matrix of its features, which is typically extracted from pre-trained convolutional neural networks (e.g., VGG-19). This idea does not straightforwardly extend to time series stylization since notions of style for two-dimensional images are not analogous to notions of style for one-dimensional time series. In this work, a novel formulation of time series style transfer is proposed for the purpose of synthetic data generation and enhancement. We introduce the concept of stylized features for time series, which is directly related to the time series realism properties, and propose a novel stylization algorithm, called StyleTime, that uses explicit feature extraction techniques to combine the underlying content (trend) of one time series with the style (distributional properties) of another. Further, we discuss evaluation metrics, and compare our work to existing state-of-the-art time series generation and augmentation schemes. To validate the effectiveness of our methods, we use stylized synthetic data as a means for data augmentation to improve the performance of recurrent neural network models on several forecasting tasks.

Jhonny Jhoset Pacheco Quispe

En los albores del siglo xx, la formación de la nación peruana fue el debate que propició la urgencia de sistematizar la literatura nacional. Los intelectuales, desde diferentes ópticas, enfocaron dicha discusión en derredor de sus intereses políticos o de clase social. Así, los Arielistas con José de la Riva-Agüero y Ventura García Calderón, entre otros, configuraron el acervo cultural con relación a lo español o a la imitación incorrecta de lo francés, respectivamente. De otro lado, la generación del Centenario con Jorge Basadre, Luis Alberto Sánchez y Raúl Porras Barrenechea buscó un sincretismo entre lo foráneo y lo americano reflejado, por ejemplo, en lo castellano y lo andino. Sería el autor de Los cronistas del Perú, quien estudie en uno de sus primeros tratados, La literatura peruana (1918), sobre la tradición de las letras peruanas, así también respecto de lo criollo y lo indígena.

Marco Gemin

Abstract:Anaxagoras is a missing author in the history of Greek rhetoric. His style has often seemed archaic and naive, unworthy of in-depth study. Nevertheless, the main so-called Gorgian figures are present in his fragments. They are not used with simply ornamental purposes but with a strongly expressive and even speculative intent. By examining in detail some texts (Lanza frr. B12; B6; B4), such systematicity and speculative depth of the use of the main rhetorical figures can be detected. Thus some conclusions about the contemporary Athenian culture can be inferred.

Holly Hassel

Hassel officially started his service as an elected CCCC officer on Dec 23, 2019, but for four years prior to that, he was an ex officio member of the CCCC Executive Committee (EC) by virtue of his role as editor of Teaching English in the Two-Year College. The editors of four of the college-level NCTE publications (TETYC, College Composition and Communication, Forum: Issues about Part-Time and Contingent Faculty, and the Studies in Writing and Rhetoric book series) are invited to attend meetings and participate in deliberations about issues affecting governance of the organization but do not have voting rights. During the nearly five years of service prior to his official elected role, he had many opportunities to observe how CCCC governance works (or doesn't): how committees and task forces are formed, appointed, and charged;how committees are constituted;how decisions are made;how nomination and election processes are conducted for the EC and other elected groups, such as the Nominating Committee. He even served on a subcommittee of the EC: the Subcommittee on Committees that produced the User's Guide to CCCC.