activity
20182025
most citedFILIP: Fine-grained Interactive Language-Image Pre-Training

206 citations · 280 across the 18 of their papers we have counts for

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Showing 2023Show all

5 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

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★ 1 cited

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment

Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer +6

Cross-modal garment synthesis and manipulation will significantly benefit the way fashion designers generate garments and modify their designs via flexible linguistic interfaces.Cu…

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…

cs.CV2023★ 1 cited

Entity-Level Text-Guided Image Manipulation

Yikai Wang, Jianan Wang, Guansong Lu +4

Existing text-guided image manipulation methods aim to modify the appearance of the image or to edit a few objects in a virtual or simple scenario, which is far from practical appl…