31 citations · 70 across the 17 of their papers we have counts for
17 papers · 1 filter
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…
DreaMoving: A Human Video Generation Framework based on Diffusion Models
Mengyang Feng, Jinlin Liu, Kai Yu +13
In this paper, we present DreaMoving, a diffusion-based controllable video generation framework to produce high-quality customized human videos. Specifically, given target identity…
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors
Biwen Lei, Kai Yu, Mengyang Feng +2
Text-guided domain adaptation and generation of 3D-aware portraits find many applications in various fields. However, due to the lack of training data and the challenges in handlin…
Boosting3D: High-Fidelity Image-to-3D by Boosting 2D Diffusion Prior to 3D Prior with Progressive Learning
Kai Yu, Jinlin Liu, Mengyang Feng +2
We present Boosting3D, a multi-stage single image-to-3D generation method that can robustly generate reasonable 3D objects in different data domains. The point of this work is to s…
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models
Mengyang Feng, Jinlin Liu, Miaomiao Cui +1
This is a technical report on the 360-degree panoramic image generation task based on diffusion models. Unlike ordinary 2D images, 360-degree panoramic images capture the entire $3…
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
Biwen Lei, Jianqiang Ren, Mengyang Feng +2
Limited by the nature of the low-dimensional representational capacity of 3DMM, most of the 3DMM-based face reconstruction (FR) methods fail to recover high-frequency facial detail…
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +4
In contrast to fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of simple box annotations, which has recently attracted i…
Box-supervised Instance Segmentation with Level Set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +3
In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box annotations, which has recently att…
Towards Counterfactual Image Manipulation via CLIP
Yingchen Yu, Fangneng Zhan, Rongliang Wu +6
Leveraging StyleGAN's expressivity and its disentangled latent codes, existing methods can achieve realistic editing of different visual attributes such as age and gender of facial…
DCT-Net: Domain-Calibrated Translation for Portrait Stylization
Yifang Men, Yuan Yao, Miaomiao Cui +2
This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization. Given limited style exemplars (100), the new architecture can produce…
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
Wenyu Liu, Wentong Li, Jianke Zhu +3
Semantic segmentation on driving-scene images is vital for autonomous driving. Although encouraging performance has been achieved on daytime images, the performance on nighttime im…
Structure-Aware Flow Generation for Human Body Reshaping
Jianqiang Ren, Yuan Yao, Biwen Lei +2
Body reshaping is an important procedure in portrait photo retouching. Due to the complicated structure and multifarious appearance of human bodies, existing methods either fall ba…
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
Jie Liang, Hui Zeng, Miaomiao Cui +2
Different from general photo retouching tasks, portrait photo retouching (PPR), which aims to enhance the visual quality of a collection of flat-looking portrait photos, has its sp…
Attention-guided Temporally Coherent Video Object Matting
Yunke Zhang, Chi Wang, Miaomiao Cui +6
This paper proposes a novel deep learning-based video object matting method that can achieve temporally coherent matting results. Its key component is an attention-based temporal a…
Active Boundary Loss for Semantic Segmentation
Chi Wang, Yunke Zhang, Miaomiao Cui +6
This paper proposes a novel active boundary loss for semantic segmentation. It can progressively encourage the alignment between predicted boundaries and ground-truth boundaries du…
Boosting Semantic Human Matting with Coarse Annotations
Jinlin Liu, Yuan Yao, Wendi Hou +4
Semantic human matting aims to estimate the per-pixel opacity of the foreground human regions. It is quite challenging and usually requires user interactive trimaps and plenty of h…