most citedEdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation

3 citations · 5 across the 4 of their papers we have counts for

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cs.CV2025

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light

Ali Hassani, Fengzhe Zhou, Aditya Kane +13

Many sparse attention mechanisms such as Neighborhood Attention have typically failed to consistently deliver speedup over the self attention baseline. This is largely due to the l…

cs.CV20251 cited

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Qingqing Zhao, Yao Lu, Moo Jin Kim +12

Vision-language-action models (VLAs) have shown potential in leveraging pretrained vision-language models and diverse robot demonstrations for learning generalizable sensorimotor c…

cs.CV20243 cited

EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation

Jiaxiang Tang, Zhaoshuo Li, Zekun Hao +4

Current auto-regressive mesh generation methods suffer from issues such as incompleteness, insufficient detail, and poor generalization. In this paper, we propose an Auto-regressiv…

cs.CV20241 cited

Condition-Aware Neural Network for Controlled Image Generation

Han Cai, Muyang Li, Zhuoyang Zhang +3

We present Condition-Aware Neural Network (CAN), a new method for adding control to image generative models. In parallel to prior conditional control methods, CAN controls the imag…

cs.CV2024

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

Muyang Li, Tianle Cai, Jiaxin Cao +7

Diffusion models have achieved great success in synthesizing high-quality images. However, generating high-resolution images with diffusion models is still challenging due to the e…