Summary of Lantern: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding, by Doohyuk Jang et al.
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decodingby Doohyuk Jang, Sihwan Park, June Yong…
Summary of Constructive Apraxia: An Unexpected Limit Of Instructible Vision-language Models and Analog For Human Cognitive Disorders, by David Noever and Samantha E. Miller Noever
Constructive Apraxia: An Unexpected Limit of Instructible Vision-Language Models and Analog for Human Cognitive Disordersby…
Summary of Not All Diffusion Model Activations Have Been Evaluated As Discriminative Features, by Benyuan Meng et al.
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Featuresby Benyuan Meng, Qianqian Xu,…
Summary of Steerdiff: Steering Towards Safe Text-to-image Diffusion Models, by Hongxiang Zhang et al.
SteerDiff: Steering towards Safe Text-to-Image Diffusion Modelsby Hongxiang Zhang, Yifeng He, Hao ChenFirst submitted to…
Summary of Grounded Answers For Multi-agent Decision-making Problem Through Generative World Model, by Zeyang Liu et al.
Grounded Answers for Multi-agent Decision-making Problem through Generative World Modelby Zeyang Liu, Xinrui Yang, Shiguang…
Summary of A Spark Of Vision-language Intelligence: 2-dimensional Autoregressive Transformer For Efficient Finegrained Image Generation, by Liang Chen et al.
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generationby Liang Chen,…
Summary of Knobgen: Controlling the Sophistication Of Artwork in Sketch-based Diffusion Models, by Pouyan Navard et al.
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Modelsby Pouyan Navard, Amin Karimi Monsefi,…
Summary of Data Extrapolation For Text-to-image Generation on Small Datasets, by Senmao Ye et al.
Data Extrapolation for Text-to-image Generation on Small Datasetsby Senmao Ye, Fei LiuFirst submitted to arxiv…
Summary of Pioneering Reliable Assessment in Text-to-image Knowledge Editing: Leveraging a Fine-grained Dataset and An Innovative Criterion, by Hengrui Gu et al.
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterionby…
Summary of Geobiked: a Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design, by Phillip Mueller et al.
GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models…