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20232025
most citedSketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation

2 citations · 9 across the 15 of their papers we have counts for

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10 papers · 1 filter

cs.CV2024

AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction

Lingteng Qiu, Shenhao Zhu, Qi Zuo +9

Generating animatable human avatars from a single image is essential for various digital human modeling applications. Existing 3D reconstruction methods often struggle to capture f…

cs.CV2024★ 1 cited

MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling

Weihao Yuan, Weichao Shen, Yisheng He +5

Motion generation from discrete quantization offers many advantages over continuous regression, but at the cost of inevitable approximation errors. Previous methods usually quantiz…

cs.CV2024

StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal

Chongjie Ye, Lingteng Qiu, Xiaodong Gu +6

This work addresses the challenge of high-quality surface normal estimation from monocular colored inputs (i.e., images and videos), a field which has recently been revolutionized…

cs.CV2024

GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation

Junhao Cai, Yuji Yang, Weihao Yuan +5

This paper studies the problem of estimating physical properties (system identification) through visual observations. To facilitate geometry-aware guidance in physical property est…

cs.CV2024

Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition

Yisheng He, Weihao Yuan, Siyu Zhu +3

This paper enables high-fidelity, transferable NeRF editing by frequency decomposition. Recent NeRF editing pipelines lift 2D stylization results to 3D scenes while suffering from…

cs.CV2024

IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images

Yushuang Wu, Luyue Shi, Junhao Cai +6

Generalizable 3D object reconstruction from single-view RGB-D images remains a challenging task, particularly with real-world data. Current state-of-the-art methods develop Transfo…

cs.CV2024★ 1 cited

OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation

Junhao Cai, Yisheng He, Weihao Yuan +4

This paper studies a new open-set problem, the open-vocabulary category-level object pose and size estimation. Given human text descriptions of arbitrary novel object categories, t…

cs.CV2024★ 1 cited

VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model

Qi Zuo, Xiaodong Gu, Lingteng Qiu +8

Generating multi-view images based on text or single-image prompts is a critical capability for the creation of 3D content. Two fundamental questions on this topic are what data we…

cs.CV2024

An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes

Zhengyi Zhao, Chen Song, Xiaodong Gu +6

A fundamental problem in the texturing of 3D meshes using pre-trained text-to-image models is to ensure multi-view consistency. State-of-the-art approaches typically use diffusion…

cs.CV2024★ 2 cited

Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation

Minglin Chen, Weihao Yuan, Yukun Wang +5

Recently, text-to-3D approaches have achieved high-fidelity 3D content generation using text description. However, the generated objects are stochastic and lack fine-grained contro…