61 citations · 133 across the 52 of their papers we have counts for
16 papers · 1 filter
DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation
Wang Zhao, Yan-Pei Cao, Jiale Xu +2
Procedural Content Generation (PCG) is powerful in creating high-quality 3D contents, yet controlling it to produce desired shapes is difficult and often requires extensive paramet…
FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction
Jiale Xu, Shenghua Gao, Ying Shan
Sparse-view reconstruction models typically require precise camera poses, yet obtaining these parameters from sparse-view images remains challenging. We introduce FreeSplatter, a s…
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities
Tao Wu, Yong Zhang, Xintao Wang +5
Customized video generation aims to generate high-quality videos guided by text prompts and subject's reference images. However, since it is only trained on static images, the fine…
PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
Tao Yang, Yingmin Luo, Zhongang Qi +3
Layout generation is the keystone in achieving automated graphic design, requiring arranging the position and size of various multi-modal design elements in a visually pleasing and…
Programmable Motion Generation for Open-Set Motion Control Tasks
Hanchao Liu, Xiaohang Zhan, Shaoli Huang +2
Character animation in real-world scenarios necessitates a variety of constraints, such as trajectories, key-frames, interactions, etc. Existing methodologies typically treat singl…
ToonCrafter: Generative Cartoon Interpolation
Jinbo Xing, Hanyuan Liu, Menghan Xia +4
We introduce ToonCrafter, a novel approach that transcends traditional correspondence-based cartoon video interpolation, paving the way for generative interpolation. Traditional me…
ReVideo: Remake a Video with Motion and Content Control
Chong Mou, Mingdeng Cao, Xintao Wang +3
Despite significant advancements in video generation and editing using diffusion models, achieving accurate and localized video editing remains a substantial challenge. Additionall…
Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
Chengyue Wu, Yixiao Ge, Qiushan Guo +5
The remarkable progress of Multi-modal Large Language Models (MLLMs) has attracted significant attention due to their superior performance in visual contexts. However, their capabi…
Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh
Xiangjun Gao, Xiaoyu Li, Yiyu Zhuang +6
Neural 3D representations such as Neural Radiance Fields (NeRF), excel at producing photo-realistic rendering results but lack the flexibility for manipulation and editing which is…
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Jiale Xu, Weihao Cheng, Yiming Gao +3
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalabil…
UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures for Human Avatar Modeling
Yujiao Jiang, Qingmin Liao, Xiaoyu Li +5
Reconstructing photo-realistic drivable human avatars from multi-view image sequences has been a popular and challenging topic in the field of computer vision and graphics. While e…
Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing
Tian-Xing Xu, Wenbo Hu, Yu-Kun Lai +2
3D Gaussian splatting, emerging as a groundbreaking approach, has drawn increasing attention for its capabilities of high-fidelity reconstruction and real-time rendering. However,…
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model
Tao Wu, Xuewei Li, Zhongang Qi +4
Controllable spherical panoramic image generation holds substantial applicative potential across a variety of domains.However, it remains a challenging task due to the inherent sph…
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang, Yangliao Geng, Wenwen Gong +6
Self-supervised learning (SSL) has recently achieved great success in mining the user-item interactions for collaborative filtering. As a major paradigm, contrastive learning (CL)…
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
Chong Mou, Xintao Wang, Jiechong Song +2
Large-scale Text-to-Image (T2I) diffusion models have revolutionized image generation over the last few years. Although owning diverse and high-quality generation capabilities, tra…
Advances in 3D Generation: A Survey
Xiaoyu Li, Qi Zhang, Di Kang +7
Generating 3D models lies at the core of computer graphics and has been the focus of decades of research. With the emergence of advanced neural representations and generative model…