1 citations · 1 across the 10 of their papers we have counts for
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Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration
Sicheng Mo, Thao Nguyen, Richard Zhang +7
In this work, we explore an untapped signal in diffusion model inference. While all previous methods generate images independently at inference, we instead ask if samples can be ge…
Occupancy Learning with Spatiotemporal Memory
Ziyang Leng, Jiawei Yang, Wenlong Yi +1
3D occupancy becomes a promising perception representation for autonomous driving to model the surrounding environment at a fine-grained scale. However, it remains challenging to e…
BEVCon: Advancing Bird's Eye View Perception with Contrastive Learning
Ziyang Leng, Jiawei Yang, Zhicheng Ren +1
We present BEVCon, a simple yet effective contrastive learning framework designed to improve Bird's Eye View (BEV) perception in autonomous driving. BEV perception offers a top-dow…
Dreamland: Controllable World Creation with Simulator and Generative Models
Sicheng Mo, Ziyang Leng, Leon Liu +3
Large-scale video generative models can synthesize diverse and realistic visual content for dynamic world creation, but they often lack element-wise controllability, hindering thei…
X-Fusion: Introducing New Modality to Frozen Large Language Models
Sicheng Mo, Thao Nguyen, Xun Huang +9
We propose X-Fusion, a framework that extends pretrained Large Language Models (LLMs) for multimodal tasks while preserving their language capabilities. X-Fusion employs a dual-tow…