3 citations · 3 across the 2 of their papers we have counts for
4 papers
Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts
Yeonsang Shin, Insoo Kim, Bongkeun Kim +2
While Transformer-based autoregressive models excel in data generation, their token discretization strategy inherently limits their precision in continuous domains. We analyze the…
Image Diffusion Preview with Consistency Solver
Fu-Yun Wang, Hao Zhou, Liangzhe Yuan +8
The slow inference process of image diffusion models significantly degrades interactive user experiences. To address this, we introduce Diffusion Preview, a novel paradigm employin…
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations
Heewon Kim, Hyun Sung Chang, Kiho Cho +2
Labor-intensive labeling becomes a bottleneck in developing computer vision algorithms based on deep learning. For this reason, dealing with imperfect labels has increasingly gaine…
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
Taehoon Kim, Pyunghwan Ahn, Sangyun Kim +39
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge. This project is designed t…