2 citations · 4 across the 12 of their papers we have counts for
12 papers
Struct-GStream: Towards Efficient Free-Viewpoint Video Streaming at Low-Bitrates with Structured 3D Gaussians
Han Jiao, Jiakai Sun, Lei Zhao +4
Constructing photorealistic Free-Viewpoint Videos (FVVs) of dynamic scenes from a set of posed 2D images has been an intriguing yet challenging task in computer vision. Methods bas…
Fast and Robust Deformable 3D Gaussian Splatting
Han Jiao, Jiakai Sun, Lei Zhao +3
3D Gaussian Splatting has demonstrated remarkable real-time rendering capabilities and superior visual quality in novel view synthesis for static scenes. Building upon these advant…
M-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining
Rui Lv, Juncheng Mo, Tianyi Chu +11
Graphical User Interface (GUI) agent is pivotal to advancing intelligent human-computer interaction paradigms. Constructing powerful GUI agents necessitates the large-scale annotat…
SparkUI-Parser: Enhancing GUI Perception with Robust Grounding and Parsing
Hongyi Jing, Jiafu Chen, Chen Rao +9
The existing Multimodal Large Language Models (MLLMs) for GUI perception have made great progress. However, the following challenges still exist in prior methods: 1) They model dis…
MAPo : Motion-Aware Partitioning of Deformable 3D Gaussian Splatting for High-Fidelity Dynamic Scene Reconstruction
Han Jiao, Jiakai Sun, Yexing Xu +3
3D Gaussian Splatting, known for enabling high-quality static scene reconstruction with fast rendering, is increasingly being applied to multi-view dynamic scene reconstruction. A…
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
Chen Rao, Guangyuan Li, Zehua Lan +7
Current video deblurring methods have limitations in recovering high-frequency information since the regression losses are conservative with high-frequency details. Since Diffusion…
Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning
Zhanjie Zhang, Jiakai Sun, Guangyuan Li +7
Arbitrary style transfer holds widespread attention in research and boasts numerous practical applications. The existing methods, which either employ cross-attention to incorporate…
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt
Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin +9
Artistic style transfer aims to transfer the learned artistic style onto an arbitrary content image, generating artistic stylized images. Existing generative adversarial network-ba…
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation
Tianyi Chu, Wei Xing, Jiafu Chen +5
Existing generative adversarial network (GAN) based conditional image generative models typically produce fixed output for the same conditional input, which is unreasonable for hig…
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
Jiafu Chen, Wei Xing, Jiakai Sun +7
3D scene stylization refers to transform the appearance of a 3D scene to match a given style image, ensuring that images rendered from different viewpoints exhibit the same style a…
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank
Zhanjie Zhang, Quanwei Zhang, Guangyuan Li +7
Artistic style transfer aims to repaint the content image with the learned artistic style. Existing artistic style transfer methods can be divided into two categories: small model-…
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
Jiakai Sun, Zhanjie Zhang, Jiafu Chen +5
Neural Radiance Fields (NeRF) has shown great success in novel view synthesis due to its state-of-the-art quality and flexibility. However, NeRF requires dense input views (tens to…