All paper pages
28734 retained paper pages. Page 220 of 288.
- OriStitch: A Machine Embroidery Workflow to Turn Existing Fabrics into Self-Folding 3D Textiles
Zekun Chang, Yixuan Gao, Yuta Noma, Shuo Feng, Xinyi Yang, Kazuhiro Shinoda, Tung D. Ta, Koji Yatani, Tomoyuki Yokota, Takao Someya, Yoshihiro Kawahara, Koya Narumi, Francois Guimbretiere, Thijs Roumen · 2024
- Theoretical limitations of multi-layer Transformer
Lijie Chen, Binghui Peng, Hongxun Wu · 2024
- Exploring the Viability of Unikernels for ARM-powered Edge Computing
Shahidullah Kaiser, Ali Saman Tosun, Turgay Korkmaz · 2024
- Cost-Performance Evaluation of General Compute Instances: AWS, Azure, GCP, and OCI
Jay Tharwani, Arnab A Purkayastha · 2024
- ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning
Zhe Xie, Zeyan Li, Xiao He, Longlong Xu, Xidao Wen, Tieying Zhang, Jianjun Chen, Rui Shi, Dan Pei · 2024
- FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awareness
Vincent Abbott, Gioele Zardini · 2024
- Berkovich Motives
Peter Scholze · 2024
- PaliGemma 2: A Family of Versatile VLMs for Transfer
Andreas Steiner, André Susano Pinto, Michael Tschannen, Daniel Keysers, Xiao Wang, Yonatan Bitton, Alexey Gritsenko, Matthias Minderer, Anthony Sherbondy, Shangbang Long, Siyang Qin, Reeve Ingle, Emanuele Bugliarello, Sahar Kazemzadeh, Thomas Mesnard, Ibrahim Alabdulmohsin, Lucas Beyer, Xiaohua Zhai · 2024
- Best-of-N Jailbreaking
John Hughes, Sara Price, Aengus Lynch, Rylan Schaeffer, Fazl Barez, Sanmi Koyejo, Henry Sleight, Erik Jones, Ethan Perez, Mrinank Sharma · 2024
- Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
Hyegang Son, Yonglak Son, Changhoon Kim, Young Geun Kim · 2024
- The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?
Sourav Banerjee, Ayushi Agarwal, Eishkaran Singh · 2024
- Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL
Vishwanath Seshagiri, Siddharth Balyan, Vaastav Anand, Kaustubh Dhole, Ishan Sharma, Avani Wildani, José Cambronero, Andreas Züfle · 2024
- From Language Models over Tokens to Language Models over Characters
Tim Vieira, Ben LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell, John Terilla, Timothy J. O'Donnell, Ryan Cotterell · 2024
- WithdrarXiv: A Large-Scale Dataset for Retraction Study
Delip Rao, Jonathan Young, Thomas Dietterich, Chris Callison-Burch · 2024
- CCxTrust: Confidential Computing Platform Based on TEE and TPM Collaborative Trust
Ketong Shang, Jiangnan Lin, Yu Qin, Muyan Shen, Hongzhan Ma, Wei Feng, Dengguo Feng · 2024
- Dudeney's Dissection is Optimal
Erik D. Demaine, Tonan Kamata, Ryuhei Uehara · 2024
- How to design a Public Key Infrastructure for a Central Bank Digital Currency
Makan Rafiee, Lars Hupel · 2024
- Enhancing Mathematical Reasoning in LLMs with Background Operators
Jiajun Chen, Yik-Cheung Tam · 2024
- VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction
Jiahao Zhang, Ryota Yoshihashi, Shunsuke Kitada, Atsuki Osanai, Yuta Nakashima · 2024
- Intriguing Properties of Robust Classification
Bernd Prach, Christoph H. Lampert · 2024
- Densing Law of LLMs
Chaojun Xiao, Jie Cai, Weilin Zhao, Guoyang Zeng, Biyuan Lin, Jie Zhou, Zhi Zheng, Xu Han, Zhiyuan Liu, Maosong Sun · 2024
- The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
Fredrik Carlsson, Fangyu Liu, Daniel Ward, Murathan Kurfali, Joakim Nivre · 2024
- The Global AI Vibrancy Tool
Loredana Fattorini, Nestor Maslej, Raymond Perrault, Vanessa Parli, John Etchemendy, Yoav Shoham, Katrina Ligett · 2024
- Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
Puxuan Yu, Luke Merrick, Gaurav Nuti, Daniel Campos · 2024
- A dual approach to proving electoral fraud using statistics and forensic evidence (Dvojnoe dokazatel'stvo falsifikazij na vyborah statistikoj i kriminalistikoj)
Andrey Podlazov, Vadim Makarov · 2024
- Understanding Hidden Computations in Chain-of-Thought Reasoning
Aryasomayajula Ram Bharadwaj · 2024
- Specification-Driven Code Translation Powered by Large Language Models: How Far Are We?
Soumit Kanti Saha, Fazle Rabbi, Song Wang, Jinqiu Yang · 2024
- ARC Prize 2024: Technical Report
Francois Chollet, Mike Knoop, Gregory Kamradt, Bryan Landers · 2024
- Semantic Retrieval at Walmart
Alessandro Magnani, Feng Liu, Suthee Chaidaroon, Sachin Yadav, Praveen Reddy Suram, Ajit Puthenputhussery, Sijie Chen, Min Xie, Anirudh Kashi, Tony Lee, Ciya Liao · 2024
- Transformers Struggle to Learn to Search
Abulhair Saparov, Srushti Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Seyed Mehran Kazemi, Najoung Kim, He He · 2024
- Frontier Models are Capable of In-context Scheming
Alexander Meinke, Bronson Schoen, Jérémy Scheurer, Mikita Balesni, Rusheb Shah, Marius Hobbhahn · 2024
- The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models
Michael Hewing, Vincent Leinhos · 2024
- A Practical Examination of AI-Generated Text Detectors for Large Language Models
Brian Tufts, Xuandong Zhao, Lei Li · 2024
- Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
Yohann Perron, Vladyslav Sydorov, Adam P. Wijker, Damian Evans, Christophe Pottier, Loic Landrieu · 2024
- Reinforcement Learning: An Overview
Kevin Murphy · 2024
- APOLLO: SGD-like Memory, AdamW-level Performance
Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee · 2024
- Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal
Binghui Ding, Ling Chen, Chuandong Li, Tingwen Huang, Sushmita Mitra · 2024
- Specifications: The missing link to making the development of LLM systems an engineering discipline
Ion Stoica, Matei Zaharia, Joseph Gonzalez, Ken Goldberg, Koushik Sen, Hao Zhang, Anastasios Angelopoulos, Shishir G. Patil, Lingjiao Chen, Wei-Lin Chiang, Jared Q. Davis · 2024
- Multilinear analysis of quaternion arrays: theory and computation
Julien Flamant, Xavier Luciani, Sebastian Miron, Yassine Zniyed · 2024
- DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
Aman Patel, Arpita Singhal, Austin Wang, Anusri Pampari, Maya Kasowski, Anshul Kundaje · 2024
- 113 km absolute ranging with nanometer precision
Yan-Wei Chen, Meng-Zhe Lian, Jin-Jian Han, Ting Zeng, Min Li, Guo-Dong Wei, Yong Wang, Yi Sheng, Ali Esamdin, Lei Hou, Qi Shen, Jian-Yu Guan, Jian-Jun Jia, Ji-Gang Ren, Cheng-Zhi Peng, Qiang Zhang, Hai-Feng Jiang, Jian-Wei Pan · 2024
- Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
Michael Hersche, Giacomo Camposampiero, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi · 2024
- Can OpenAI o1 outperform humans in higher-order cognitive thinking?
Ehsan Latif, Yifan Zhou, Shuchen Guo, Lehong Shi, Yizhu Gao, Matthew Nyaaba, Arne Bewerdorff, Xiantong Yang, Xiaoming Zhai · 2024
- Perceptual Hash Inversion Attacks on Image-Based Sexual Abuse Removal Tools
Sophie Hawkes, Christian Weinert, Teresa Almeida, Maryam Mehrnezhad · 2024
- Flow Matching Guide and Code
Yaron Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, Brian Karrer, Ricky T. Q. Chen, David Lopez-Paz, Heli Ben-Hamu, Itai Gat · 2024
- Schema Evolution in Interactive Programming Systems
Jonathan Edwards, Tomas Petricek, Tijs van der Storm, Geoffrey Litt · 2024
- Health-Informed Computing: Estimating and Addressing the Public Health Impact of Data Centers
Yuelin Han, Zhifeng Wu, Pengfei Li, Adam Wierman, Shaolei Ren · 2024
- Towards High-Level Modelling in Automated Planning
Carla Davesa Sureda, Joan Espasa Arxer, Ian Miguel, Mateu Villaret Auselle · 2024
- Normalizing Flows are Capable Generative Models
Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Angel Bautista, Navdeep Jaitly, Josh Susskind · 2024
- Exploring Memorization and Copyright Violation in Frontier LLMs: A Study of the New York Times v. OpenAI 2023 Lawsuit
Joshua Freeman, Chloe Rippe, Edoardo Debenedetti, Maksym Andriushchenko · 2024
- Gated Delta Networks: Improving Mamba2 with Delta Rule
Songlin Yang, Jan Kautz, Ali Hatamizadeh · 2024
- Chatbots im Schulunterricht: Wir testen das Fobizz-Tool zur automatischen Bewertung von Hausaufgaben
Rainer Muehlhoff, Marte Henningsen · 2024
- Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection
Alex Kantchelian, Casper Neo, Ryan Stevens, Hyungwon Kim, Zhaohao Fu, Sadegh Momeni, Birkett Huber, Cem Topcuoglu, Senaka Buthpitiya, Elie Bursztein, Yanis Pavlidis, Martin Cochran, Massimiliano Poletto · 2024
- Training Large Language Models to Reason in a Continuous Latent Space
Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, Yuandong Tian · 2024
- SpikeFI: A Fault Injection Framework for Spiking Neural Networks
Theofilos Spyrou, Said Hamdioui, Haralampos-G. Stratigopoulos · 2024
- FinFlier: Automating Graphical Overlays for Financial Visualizations with Knowledge-Grounding Large Language Model
Jianing Hao, Manling Yang, Qing Shi, Yuzhe Jiang, Guang Zhang, Wei Zeng · 2024
- GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
Haotong Yang, Xiyuan Wang, Qian Tao, Shuxian Hu, Zhouchen Lin, Muhan Zhang · 2024
- When Every Token Counts: Optimal Segmentation for Low-Resource Language Models
Bharath Raj, Garvit Suri, Vikrant Dewangan, Raghav Sonavane · 2024
- CURE: A Dataset for Clinical Understanding & Retrieval Evaluation
Nadia Athar Sheikh, Daniel Buades Marcos, Anne-Laure Jousse, Akintunde Oladipo, Olivier Rousseau, Jimmy Lin · 2024
- Asynchronous LLM Function Calling
In Gim, Seung-seob Lee, Lin Zhong · 2024
- Oreo: Protecting ASLR Against Microarchitectural Attacks (Extended Version)
Shixin Song, Joseph Zhang, Mengjia Yan · 2024
- Granite Guardian
Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre Dognin, Keerthiram Murugesan, Erik Miehling, Martín Santillán Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri · 2024
- Language Model as Visual Explainer
Xingyi Yang, Xinchao Wang · 2024
- Rethinking Emotion Annotations in the Era of Large Language Models
Minxue Niu, Yara El-Tawil, Amrit Romana, Emily Mower Provost · 2024
- Forking Paths in Neural Text Generation
Eric Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer Ullman · 2024
- A Lean and Mean Introduction to Modern General Relativity
Peter Hayman · 2024
- Enhancing CGRA Efficiency Through Aligned Compute and Communication Provisioning
Zhaoying Li, Pranav Dangi, Chenyang Yin, Thilini Kaushalya Bandara, Rohan Juneja, Cheng Tan, Zhenyu Bai, Tulika Mitra · 2024
- Antelope: Potent and Concealed Jailbreak Attack Strategy
Xin Zhao, Xiaojun Chen, Haoyu Gao · 2024
- Call to Protect the Dark and Quiet Sky from Harmful Interference by Satellite Constellations
IAU Centre for the Protection of the Dark, Quiet Sky from Satellite Constellation Interference, Gyula I. G. Józsa, Andrew Williams, Richard Green, Isabel Marsh, John Antoniadis, Domingos Barbosa, John Barentine, Guillermo Blanc, Aaron Boley, Bruno Coelho, Patricia Cooper, Sara Dalledonne, Federico Di Vruno, Joe Diamond, Adam Dong, Ronald Drimmel, Siegfried Eggl, Nusrin Habeeb, Jessica Heim, Chris Hofer, Narae Hwang, Mathieu Isidro, David Koplow, James Lowenthal, Sara Lucatello, Mariya Lyubenova, Robert Massey, Mike Peel, Meredith Rawls, Adrien Saada, Alejandro Sanchez, Pedro Sanhueza, Warren Skidmore, Boris Sorokin, P. Sreekumar, Tim Stevenson, Paula Tartari, Vincenza Tornatore, Connie Walker, Benjamin Winkel, Yana Yakushina · 2024
- Competition and Diversity in Generative AI
Manish Raghavan · 2024
- DocVLM: Make Your VLM an Efficient Reader
Mor Shpigel Nacson, Aviad Aberdam, Roy Ganz, Elad Ben Avraham, Alona Golts, Yair Kittenplon, Shai Mazor, Ron Litman · 2024
- GMem: A Modular Approach for Ultra-Efficient Generative Models
Yi Tang, Peng Sun, Zhenglin Cheng, Tao Lin · 2024
- Large Concept Models: Language Modeling in a Sentence Representation Space
LCM team, Loïc Barrault, Paul-Ambroise Duquenne, Maha Elbayad, Artyom Kozhevnikov, Belen Alastruey, Pierre Andrews, Mariano Coria, Guillaume Couairon, Marta R. Costa-jussà, David Dale, Hady Elsahar, Kevin Heffernan, João Maria Janeiro, Tuan Tran, Christophe Ropers, Eduardo Sánchez, Robin San Roman, Alexandre Mourachko, Safiyyah Saleem, Holger Schwenk · 2024
- Kajal: Extracting Grammar of a Source Code Using Large Language Models
Mohammad Jalili Torkamani · 2024
- Two Earth-size Planets and an Earth-size Candidate Transiting the Nearby Star HD 101581
Michelle Kunimoto, Zifan Lin, Sarah Millholland, Alexander Venner, Natalie R. Hinkel, Avi Shporer, Andrew Vanderburg, Jeremy Bailey, Rafael Brahm, Jennifer A. Burt, R. Paul Butler, Brad Carter, David R. Ciardi, Karen A. Collins, Kevin I. Collins, Knicole D. Colon, Jeffrey D. Crane, Tansu Daylan, Matías R. Díaz, John P. Doty, Fabo Feng, Eike W. Guenther, Jonathan Horner, Steve B. Howell, Jan Janik, Hugh R. A. Jones, Petr Kabath, Shubham Kanodia, Colin Littlefield, Hugh P. Osborn, Simon O'Toole, Martin Paegert, Pavel Pintr, Richard P. Schwarz, Steve Shectman, Gregor Srdoc, Keivan G. Stassun, Johanna K. Teske, Joseph D. Twicken, Leonardo Vanzi, Sharon X. Wang, Robert A. Wittenmyer, Jon M. Jenkins, George R. Ricker, Sara Seager, Joshua Winn · 2024
- Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
Hans Moen, Vishnu Raj, Andrius Vabalas, Markus Perola, Samuel Kaski, Andrea Ganna, Pekka Marttinen · 2024
- Phi-4 Technical Report
Marah Abdin, Jyoti Aneja, Harkirat Behl, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Michael Harrison, Russell J. Hewett, Mojan Javaheripi, Piero Kauffmann, James R. Lee, Yin Tat Lee, Yuanzhi Li, Weishung Liu, Caio C. T. Mendes, Anh Nguyen, Eric Price, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Xin Wang, Rachel Ward, Yue Wu, Dingli Yu, Cyril Zhang, Yi Zhang · 2024
- Arbitrary-steps Image Super-resolution via Diffusion Inversion
Zongsheng Yue, Kang Liao, Chen Change Loy · 2024
- Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance
Yizhou Fan, Luzhen Tang, Huixiao Le, Kejie Shen, Shufang Tan, Yueying Zhao, Yuan Shen, Xinyu Li, Dragan Gašević · 2024
- Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale
Zekun Hao, David W. Romero, Tsung-Yi Lin, Ming-Yu Liu · 2024
- Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders
Fiona Ryan, Ajay Bati, Sangmin Lee, Daniel Bolya, Judy Hoffman, James M. Rehg · 2024
- GenEx: Generating an Explorable World
Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan Yuille, Jieneng Chen · 2024
- Limit Order Book Event Stream Prediction with Diffusion Model
Zetao Zheng, Guoan Li, Deqiang Ouyang, Decui Liang, Jie Shao · 2024
- DiP: A Scalable, Energy-Efficient Systolic Array for Matrix Multiplication Acceleration
Ahmed J. Abdelmaksoud, Shady Agwa, Themis Prodromakis · 2024
- GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang · 2024
- An invitation to Fibonacci digits
Justin Cheigh, Guilherme Zeus Dantas e Moura, Jacob Lehmann Duke, Annika Mauro, Zoe McDonald, Anna Mello, Kayla Miller, Steven J. Miller, Santiago Velazquez Iannuzzelli · 2024
- Memory Layers at Scale
Vincent-Pierre Berges, Barlas Oğuz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh · 2024
- WaveOrder: A differentiable wave-optical framework for scalable biological microscopy with diverse modalities
Talon Chandler, Ivan E. Ivanov, Gabriel Sturm, Sheng Xiao, Xiang Zhao, Alexander Hillsley, Allyson Quinn Ryan, Ziwen Liu, Sricharan Reddy Varra, Ilan Theodoro, Eduardo Hirata-Miyasaki, Deepika Sundarraman, Amitabh Verma, Madhurya Sekhar, Chad Liu, Soorya Pradeep, See-Chi Lee, Shannon N. Rhoads, Maria Clara Zanellati, Sarah Cohen, Carolina Arias, Manuel D. Leonetti, Adrian Jacobo, Keir Balla, Loïc A. Royer, Shalin B. Mehta · 2024
- The Complexity Dynamics of Grokking
Branton DeMoss, Silvia Sapora, Jakob Foerster, Nick Hawes, Ingmar Posner · 2024
- Byte Latent Transformer: Patches Scale Better Than Tokens
Artidoro Pagnoni, Ram Pasunuru, Pedro Rodriguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srinivasan Iyer · 2024
- Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho · 2024
- AniSora: Exploring the Frontiers of Animation Video Generation in the Sora Era
Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Yin, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Xinwen Zhang, Xingyu Zheng, Jixuan Xu, Yue Zhang, Jinlong Hou, Huyang Sun · 2024
- MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization
Shuaiting Li, Chengxuan Wang, Juncan Deng, Zeyu Wang, Zewen Ye, Zongsheng Wang, Haibin Shen, Kejie Huang · 2024
- Cultural Evolution of Cooperation among LLM Agents
Aron Vallinder, Edward Hughes · 2024
- DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Zhiyu Wu, Xiaokang Chen, Zizheng Pan, Xingchao Liu, Wen Liu, Damai Dai, Huazuo Gao, Yiyang Ma, Chengyue Wu, Bingxuan Wang, Zhenda Xie, Yu Wu, Kai Hu, Jiawei Wang, Yaofeng Sun, Yukun Li, Yishi Piao, Kang Guan, Aixin Liu, Xin Xie, Yuxiang You, Kai Dong, Xingkai Yu, Haowei Zhang, Liang Zhao, Yisong Wang, Chong Ruan · 2024
- AdvPrefix: An Objective for Nuanced LLM Jailbreaks
Sicheng Zhu, Brandon Amos, Yuandong Tian, Chuan Guo, Ivan Evtimov · 2024
- Apollo: An Exploration of Video Understanding in Large Multimodal Models
Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia · 2024
- The Reliability Issue in ReRam-based CIM Architecture for SNN: A Survey
Wei-Ting Chen · 2024
- Identifying and Manipulating Personality Traits in LLMs Through Activation Engineering
Rumi Allbert, James K. Wiles, Vlad Grankovsky · 2024
- SVGFusion: A VAE-Diffusion Transformer for Vector Graphic Generation
Ximing Xing, Juncheng Hu, Ziteng Xue, Jing Zhang, Buyu Li, Sheng Wang, Dong Xu, Qian Yu · 2024