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20232026
most citedPhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

5 citations · 14 across the 12 of their papers we have counts for

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cs.CV2026

DressWild: Feed-Forward Pose-Agnostic Garment Sewing Pattern Generation from In-the-Wild Images

Zeng Tao, Ying Jiang, Yunuo Chen +7

Recent advances in garment pattern generation have shown promising progress. However, existing feed-forward methods struggle with diverse poses and viewpoints, while optimization-b…

cs.CV2025

Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics

Xuan Li, Chang Yu, Wenxin Du +5

Recent advances in large models have significantly advanced image-to-3D reconstruction. However, the generated models are often fused into a single piece, limiting their applicabil…

cs.CV2024

PhysMotion: Physics-Grounded Dynamics From a Single Image

Xiyang Tan, Ying Jiang, Xuan Li +4

We introduce PhysMotion, a novel framework that leverages principled physics-based simulations to guide intermediate 3D representations generated from a single image and input cond…

cs.CV2024★ 2 cited

VideoPhy: Evaluating Physical Commonsense for Video Generation

Hritik Bansal, Zongyu Lin, Tianyi Xie +7

Recent advances in internet-scale video data pretraining have led to the development of text-to-video generative models that can create high-quality videos across a broad range of…

cs.CV2024★ 1 cited

GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details

Boqian Li, Xuan Li, Ying Jiang +5

Traditional 3D garment creation is labor-intensive, involving sketching, modeling, UV mapping, and texturing, which are time-consuming and costly. Recent advances in diffusion-base…