6 citations · 18 across the 17 of their papers we have counts for
17 papers
SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions
Xiaoyu Liu, Yuxiang Wei, Ming Liu +4
Human visual imagination usually begins with analogies or rough sketches. For example, given an image with a girl playing guitar before a building, one may analogously imagine how…
Strictly-ID-Preserved and Controllable Accessory Advertising Image Generation
Youze Xue, Binghui Chen, Yifeng Geng +3
Customized generative text-to-image models have the ability to produce images that closely resemble a given subject. However, in the context of generating advertising images for e-…
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
Junwen He, Yifan Wang, Lijun Wang +5
Multimodal Large Language Model (MLLMs) leverages Large Language Models as a cognitive framework for diverse visual-language tasks. Recent efforts have been made to equip MLLMs wit…
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Yabo Zhang, Yuxiang Wei, Xianhui Lin +5
Text-to-image diffusion models (T2I) have demonstrated unprecedented capabilities in creating realistic and aesthetic images. On the contrary, text-to-video diffusion models (T2V)…
DivAvatar: Diverse 3D Avatar Generation with a Single Prompt
Weijing Tao, Biwen Lei, Kunhao Liu +4
Text-to-Avatar generation has recently made significant strides due to advancements in diffusion models. However, most existing work remains constrained by limited diversity, produ…
En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
Yifang Men, Biwen Lei, Yuan Yao +3
We present En3D, an enhanced generative scheme for sculpting high-quality 3D human avatars. Unlike previous works that rely on scarce 3D datasets or limited 2D collections with imb…