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20232026
most citedHiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving

22 citations · 37 across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.CV2023

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion

Guansong Lu, Yuanfan Guo, Jianhua Han +7

Current large-scale diffusion models represent a giant leap forward in conditional image synthesis, capable of interpreting diverse cues like text, human poses, and edges. However,…

cs.CV2023

BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models

Fengyuan Shi, Jiaxi Gu, Hang Xu +3

Diffusion models have made tremendous progress in text-driven image and video generation. Now text-to-image foundation models are widely applied to various downstream image synthes…

cs.CV2023★ 9 cited

Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation

Jiaxi Gu, Shicong Wang, Haoyu Zhao +7

Inspired by the remarkable success of Latent Diffusion Models (LDMs) for image synthesis, we study LDM for text-to-video generation, which is a formidable challenge due to the comp…

cs.CV2023★ 22 cited

HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving

Xinpeng Ding, Jianhua Han, Hang Xu +2

Recent efforts to use natural language for interpretable driving focus mainly on planning, neglecting perception tasks. In this paper, we address this gap by introducing ROLISP (Ri…

cs.CV2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images

Cuican Yu, Guansong Lu, Yihan Zeng +7

Generating 3D faces from textual descriptions has a multitude of applications, such as gaming, movie, and robotics. Recent progresses have demonstrated the success of unconditional…

cs.CV2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training

Xinchi Deng, Han Shi, Runhui Huang +7

Cross-modal pre-training has shown impressive performance on a wide range of downstream tasks, benefiting from massive image-text pairs collected from the Internet. In practice, on…

cs.CV2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability

Runhui Huang, Jianhua Han, Guansong Lu +4

Recently, large-scale diffusion models, e.g., Stable diffusion and DallE2, have shown remarkable results on image synthesis. On the other hand, large-scale cross-modal pre-trained…