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Recent advances in NeRF and 3DGS have significantly enhanced the efficiency and quality of 3D content synthesis. However, efficient personalization of generated 3D content remains a critical challenge. Current 3D personalization approaches…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Qi Song , Ziyuan Luo , Ka Chun Cheung , Simon See , Renjie Wan

We conjecture that creativity and the perception of creativity are, at least to some extent, shaped by embodiment. This makes embodiment highly relevant for Computational Creativity (CC) research, but existing research is scarce and the use…

Artificial Intelligence · Computer Science 2021-07-05 Christian Guckelsberger , Anna Kantosalo , Santiago Negrete-Yankelevich , Tapio Takala

The task of crafting procedural programs capable of generating structurally valid 3D shapes easily and intuitively remains an elusive goal in computer vision and graphics. Within the graphics community, generating procedural 3D models has…

Graphics · Computer Science 2025-03-21 Ofek Pearl , Itai Lang , Yuhua Hu , Raymond A. Yeh , Rana Hanocka

3D content creation plays a vital role in various applications, such as gaming, robotics simulation, and virtual reality. However, the process is labor-intensive and time-consuming, requiring skilled designers to invest considerable effort…

Computer Vision and Pattern Recognition · Computer Science 2024-05-16 Chenhan Jiang

Programmability, performance portability, and resource efficiency have emerged as critical challenges in harnessing complex and diverse architectures today to obtain high performance and energy efficiency. While there is abundant research,…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-14 Nandita Vijaykumar

Recent advances in 3D generative models have rapidly improved image-to-3D synthesis quality, enabling higher-resolution geometry and more realistic appearance. Yet fidelity, which measures pixel-level faithfulness of the generated 3D asset…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Dong-Yang Li , Wang Zhao , Yuxin Chen , Wenbo Hu , Meng-Hao Guo , Fang-Lue Zhang , Ying Shan , Shi-Min Hu

Art is a variety of human activities that include the production of visual, auditory, or performing objects that express the creativity, creative concepts, or technological abilities of the artist, intended primarily for their beauty or…

Computers and Society · Computer Science 2021-05-17 Amogh G. Warkhandkar , Omkar B. Bhambure

Recent advances in large multimodal models suggest that explicit reasoning mechanisms play a critical role in improving model reliability, interpretability, and cross-modal alignment. While such reasoning-centric approaches have been proven…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Tianjiao Yu , Xinzhuo Li , Yifan Shen , Yuanzhe Liu , Ismini Lourentzou

Creating and editing the shape and color of 3D objects require tremendous human effort and expertise. Compared to direct manipulation in 3D interfaces, 2D interactions such as sketches and scribbles are usually much more natural and…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Zezhou Cheng , Menglei Chai , Jian Ren , Hsin-Ying Lee , Kyle Olszewski , Zeng Huang , Subhransu Maji , Sergey Tulyakov

The convergence of generative artificial intelligence and advanced computer vision technologies introduces a groundbreaking approach to transforming textual descriptions into three-dimensional representations. This research proposes a fully…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Venkat Kumar R , Deepak Saravanan

Art and culture, at their best, lie in the act of discovery and exploration. This paper describes Resurrect3D, an open visualization platform for both casual users and domain experts to explore cultural artifacts. To that end, Resurrect3D…

Human-Computer Interaction · Computer Science 2021-12-22 Joshua Romphf , Elias Neuman-Donihue , Gregory Heyworth , Yuhao Zhu

A remarkable feature of human beings is their capacity for creative behaviour, referring to their ability to react to problems in ways that are novel, surprising, and useful. Transformational creativity is a form of creativity where the…

Machine Learning · Computer Science 2019-06-26 Maarten Grachten , Carlos Eduardo Cancino Chacón

We attempt to automate various artistic processes by inventing a set of drawing games, analogous to the approach taken by emergent language research in inventing communication games. A critical difference is that drawing games demand much…

Artificial Intelligence · Computer Science 2020-12-11 Chrisantha Fernando , Daria Zenkova , Stanislav Nikolov , Simon Osindero

The rise of 3D anime-style avatars in gaming, virtual reality, and other digital media has driven significant interest in automated generation methods capable of capturing their distinctive visual characteristics. These include stylized…

Graphics · Computer Science 2026-03-31 Fernanda Miyuki Yamada , João Paulo Gois , Hiroki Takahashi

The current advances in generative AI for learning large neural network models with the capability to produce essays, images, music and even 3D assets from text prompts create opportunities for a manifold of disciplines. In the present…

Computation and Language · Computer Science 2023-07-06 Thiago Rios , Stefan Menzel , Bernhard Sendhoff

In computer vision, visual arts are often studied from a purely aesthetics perspective, mostly by analysing the visual appearance of an artistic reproduction to infer its style, its author, or its representative features. In this work,…

Computer Vision and Pattern Recognition · Computer Science 2019-04-25 Noa Garcia , Benjamin Renoust , Yuta Nakashima

Sketching is a natural and effective visual communication medium commonly used in creative processes. Recent developments in deep-learning models drastically improved machines' ability in understanding and generating visual content. An…

Human-Computer Interaction · Computer Science 2021-11-22 Forrest Huang , Eldon Schoop , David Ha , Jeffrey Nichols , John Canny

While recent learning based methods have been observed to be superior for several vision-related applications, their potential in generating artistic effects has not been explored much. One such interesting application is Shadow Art - a…

Computer Vision and Pattern Recognition · Computer Science 2021-08-02 Kaustubh Sadekar , Ashish Tiwari , Shanmuganathan Raman

Recent advances in 3D generation have transitioned from multi-view 2D rendering approaches to 3D-native latent diffusion frameworks that exploit geometric priors in ground truth data. Despite progress, three key limitations persist: (1)…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Shaocong Dong , Lihe Ding , Xiao Chen , Yaokun Li , Yuxin Wang , Yucheng Wang , Qi Wang , Jaehyeok Kim , Chenjian Gao , Zhanpeng Huang , Zibin Wang , Tianfan Xue , Dan Xu

Creating and understanding art has long been a hallmark of human ability. When presented with finished digital artwork, professional graphic artists can intuitively deconstruct and replicate it using various drawing tools, such as the line…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Qi Bing , Chaoyi Zhang , Weidong Cai