{"total":19,"rows":[{"id":"2110.10863","title":"Deep Generative Models in Engineering Design: A Review","created":"2021-10-21","cited_by_count":105,"area":null},{"id":"2306.00738","title":"ReFACT: Updating Text-to-Image Models by Editing the Text Encoder","created":"2023-06-01","cited_by_count":32,"area":null},{"id":"2309.15421","title":"Deep Learning in Deterministic Computational Mechanics","created":"2023-09-27","cited_by_count":21,"area":null},{"id":"2106.01592","title":"Data-Driven Design-by-Analogy: State of the Art and Future Directions","created":"2021-06-03","cited_by_count":18,"area":null},{"id":"2310.01819","title":"TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling","created":"2023-10-03","cited_by_count":16,"area":null},{"id":"2306.01779","title":"Conceptual Design Generation Using Large Language Models","created":"2023-05-30","cited_by_count":13,"area":null},{"id":"2407.04604","title":"PartCraft: Crafting Creative Objects by Parts","created":"2024-07-05","cited_by_count":13,"area":null},{"id":"2305.00210","title":"ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model","created":"2023-04-29","cited_by_count":11,"area":null},{"id":"2310.19626","title":"Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities","created":"2023-10-30","cited_by_count":9,"area":null},{"id":"2311.15477","title":"DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination","created":"2023-11-27","cited_by_count":6,"area":null},{"id":"2504.21033","title":"Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality","created":"2025-04-27","cited_by_count":4,"area":null},{"id":"2402.05073","title":"NITO: Neural Implicit Fields for Resolution-free Topology Optimization","created":"2024-02-07","cited_by_count":3,"area":null},{"id":"2403.05352","title":"Fr\\'echet Denoised Distance: Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder","created":"2024-03-08","cited_by_count":3,"area":null},{"id":"2407.11104","title":"Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception","created":"2024-07-15","cited_by_count":3,"area":null},{"id":"2104.09757","title":"Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation","created":"2021-04-20","cited_by_count":2,"area":null},{"id":"2501.04144","title":"Chirpy3D: Part-Aware Multi-View Diffusion for Creative Fine-Grained Object Generation","created":"2025-01-07","cited_by_count":1,"area":null},{"id":"2301.12382","title":"Data-driven intelligent computational design for products: Method, techniques, and applications","created":"2023-01-29","cited_by_count":0,"area":null},{"id":"2502.16097","title":"LitLinker: Supporting the Ideation of Interdisciplinary Contexts with Large Language Models for Teaching Literature in Elementary Schools","created":"2025-02-22","cited_by_count":0,"area":null},{"id":"2505.16725","title":"Masked Conditioning for Deep Generative Models","created":"2025-05-22","cited_by_count":0,"area":null}],"next_cursor":null}