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Video-guided 3D animation holds immense potential for content creation, offering intuitive and precise control over dynamic assets. However, practical deployment faces a critical yet frequently overlooked hurdle: the pose misalignment…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Zijie Wu , Lixin Xu , Puhua Jiang , Sicong Liu , Chunchao Guo , Xiang Bai

Autoregressive models for 3D mesh generation suffer from a fundamental limitation: they flatten meshes into long vertex-coordinate sequences. This results in prohibitive computational costs, hindering the efficient synthesis of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Hanxiao Wang , Yuan-Chen Guo , Ying-Tian Liu , Zi-Xin Zou , Biao Zhang , Weize Quan , Ding Liang , Yan-Pei Cao , Dong-Ming Yan

3D Content Generation is at the heart of many computer graphics applications, including video gaming, film-making, virtual and augmented reality, etc. This paper proposes a novel deep-learning based approach for automatically generating…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Yongzhi Xu , Yonhon Ng , Yifu Wang , Inkyu Sa , Yunfei Duan , Zhenhong Sun , Yang Li , Pan Ji , Hongdong Li

Generating high-quality 3D assets from text and images has long been challenging, primarily due to the absence of scalable 3D representations capable of capturing intricate geometry distributions. In this work, we introduce Direct3D, a…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Shuang Wu , Youtian Lin , Feihu Zhang , Yifei Zeng , Jingxi Xu , Philip Torr , Xun Cao , Yao Yao

Text-to-4D generation has recently been demonstrated viable by integrating a 2D image diffusion model with a video diffusion model. However, existing models tend to produce results with inconsistent motions and geometric structures over…

Graphics · Computer Science 2024-08-19 Ce Chen , Shaoli Huang , Xuelin Chen , Guangyi Chen , Xiaoguang Han , Kun Zhang , Mingming Gong

Sketching is an important activity in any design process. Designers and stakeholders share their ideas through hand-drawn sketches. These sketches are further used to create 3D models. Current methods to generate 3D models from sketches are…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Nitish Bhardwaj , Dhornala Bharadwaj , Alpana Dubey

With the help of Score Distillation Sampling (SDS) and the rapid development of neural 3D representations, some methods have been proposed to perform 3D editing such as adding additional geometries, or overwriting textures. However,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-10 Yige Chen , Teng Hu , Yizhe Tang , Siyuan Chen , Ang Chen , Ran Yi

Generative models for 3D object synthesis have seen significant advancements with the incorporation of prior knowledge distilled from 2D diffusion models. Nevertheless, challenges persist in the form of multi-view geometric inconsistencies…

Computer Vision and Pattern Recognition · Computer Science 2023-11-20 Lincong Feng , Muyu Wang , Maoyu Wang , Kuo Xu , Xiaoli Liu

D shape generation is a fundamental operation in computer graphics. While significant progress has been made, especially with recent deep generative models, it remains a challenge to synthesize high-quality shapes with rich geometric…

Graphics · Computer Science 2022-05-31 Jie Yang , Kaichun Mo , Yu-Kun Lai , Leonidas J. Guibas , Lin Gao

Mesh generation is a crucial step in numerical simulations, significantly impacting simulation accuracy and efficiency. However, generating meshes remains time-consuming and requires expensive computational resources. In this paper, we…

Graphics · Computer Science 2024-07-03 Jiaming Peng , Xinhai Chen , Jie Liu

Recent point-based differentiable rendering techniques have achieved significant success in high-fidelity reconstruction and fast rendering. However, due to the unstructured nature of point-based representations, they are difficult to apply…

Graphics · Computer Science 2025-08-12 Kaiwen Song , Jinkai Cui , Zherui Qiu , Juyong Zhang

Latent diffusion models for image generation have crossed a quality threshold which enabled them to achieve mass adoption. Recently, a series of works have made advancements towards replicating this success in the 3D domain, introducing…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Anchit Gupta , Wenhan Xiong , Yixin Nie , Ian Jones , Barlas Oğuz

3D meshes are a critical building block for applications ranging from industrial design and gaming to simulation and robotics. Traditionally, meshes are crafted manually by artists, a process that is time-intensive and difficult to scale.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-24 Xiatao Sun , Chen Liang , Qian Wang , Daniel Rakita

3D representation is essential to the significant advance of 3D generation with 2D diffusion priors. As a flexible representation, NeRF has been first adopted for 3D representation. With density-based volumetric rendering, it however…

Computer Vision and Pattern Recognition · Computer Science 2024-10-14 Chun Gu , Zeyu Yang , Zijie Pan , Xiatian Zhu , Li Zhang

We tackle the challenge of generating the infinitely extendable 3D world -- large, continuous environments with coherent geometry and realistic appearance. Existing methods face key challenges: 2D-lifting approaches suffer from geometric…

Computer Vision and Pattern Recognition · Computer Science 2025-10-27 Sikuang Li , Chen Yang , Jiemin Fang , Taoran Yi , Jia Lu , Jiazhong Cen , Lingxi Xie , Wei Shen , Qi Tian

High-fidelity 3D object synthesis remains significantly more challenging than 2D image generation due to the unstructured nature of mesh data and the cubic complexity of dense volumetric grids. Existing two-stage pipelines-compressing…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Zhihao Li , Yufei Wang , Heliang Zheng , Yihao Luo , Bihan Wen

The rapid proliferation of generative 3D models has created a critical bottleneck in animation pipelines: rigging. Existing automated methods are fundamentally limited by their approach to skinning, treating it as an ill-posed,…

Graphics · Computer Science 2026-02-05 Jia-peng Zhang , Cheng-Feng Pu , Meng-Hao Guo , Yan-Pei Cao , Shi-Min Hu

Text-to-image diffusion models are gradually introduced into computer graphics, recently enabling the development of Text-to-3D pipelines in an open domain. However, for interactive editing purposes, local manipulations of content through a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Aryan Mikaeili , Or Perel , Mehdi Safaee , Daniel Cohen-Or , Ali Mahdavi-Amiri

Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. Creating computer-generated videos, however, is a tedious…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Shengqu Cai , Duygu Ceylan , Matheus Gadelha , Chun-Hao Paul Huang , Tuanfeng Yang Wang , Gordon Wetzstein

Animatable 3D assets, defined as geometry equipped with an articulated skeleton and skinning weights, are fundamental to interactive graphics, embodied agents, and animation production. While recent 3D generative models can synthesize…