Cover Image

Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yiming, Tang, Siyu, Chu, Mengyu
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Graphics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
by: Chu, Mengyu, et al.
Published: (2022)

Neural Texture Splatting: Expressive 3D Gaussian Splatting for View Synthesis, Geometry, and Dynamic Reconstruction
by: Wang, Yiming, et al.
Published: (2025)

FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction
by: Nguyen, Thuan Hoang, et al.
Published: (2026)

ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets
by: Tang, Kaiyuan, et al.
Published: (2023)

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models
by: Zhang, Tianyuan, et al.
Published: (2024)

Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
by: Fan, Shen, et al.
Published: (2024)

PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction
by: Zhang, Xiang, et al.
Published: (2026)

iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting
by: Tang, Kaiyuan, et al.
Published: (2025)

Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer
by: Cui, Jiahao, et al.
Published: (2024)

Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting
by: Kulkarni, Nitin, et al.
Published: (2026)

Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes
by: Holalkere, Sidhanth, et al.
Published: (2025)

Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
by: Li, Ren, et al.
Published: (2025)

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
by: Wiedemann, Nina, et al.
Published: (2025)

DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
by: Huang, Yukun, et al.
Published: (2023)

Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
by: Wang, Jiahong, et al.
Published: (2024)

SPICE: A Synergistic, Precise, Iterative, and Customizable Image Editing Workflow
by: Tang, Kenan, et al.
Published: (2025)

R3GS: Gaussian Splatting for Robust Reconstruction and Relocalization in Unconstrained Image Collections
by: yan, Xu, et al.
Published: (2025)

Physically Based Neural Bidirectional Reflectance Distribution Function
by: Zhou, Chenliang, et al.
Published: (2024)

RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting
by: Dai, Qiyu, et al.
Published: (2025)

On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding
by: Lin, Guying, et al.
Published: (2024)

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
by: Wang, Jiaxu, et al.
Published: (2024)

From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation
by: Huang, Ziwei, et al.
Published: (2025)

Learning Neural Antiderivatives
by: Rubab, Fizza, et al.
Published: (2025)

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
by: Zheng, Chenhao, et al.
Published: (2025)

LumiX: Structured and Coherent Text-to-Intrinsic Generation
by: Han, Xu, et al.
Published: (2025)

GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping
by: Chen, Ruochen, et al.
Published: (2023)

Learn2Talk: 3D Talking Face Learns from 2D Talking Face
by: Zhuang, Yixiang, et al.
Published: (2024)

PG-3DGS: Optimizing 3D Gaussian Splatting to Satisfy Physics Objectives
by: Lee, Zachary, et al.
Published: (2026)

Learning-based density-equalizing map
by: Huang, Yanwen, et al.
Published: (2025)

HEIR: Learning Graph-Based Motion Hierarchies
by: Zheng, Cheng, et al.
Published: (2025)

PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning
by: Lei, Yuanhang, et al.
Published: (2026)

Learning Images Across Scales Using Adversarial Training
by: Wolski, Krzysztof, et al.
Published: (2024)

Revisiting CAD Model Generation by Learning Raster Sketch
by: Li, Pu, et al.
Published: (2025)

ENTIRE: Learning-based Volume Rendering Time Prediction
by: Yin, Zikai, et al.
Published: (2025)

Random Walks in Self-supervised Learning for Triangular Meshes
by: Yefet, Gal, et al.
Published: (2025)

PoissonNet: A Local-Global Approach for Learning on Surfaces
by: Maesumi, Arman, et al.
Published: (2025)

CageNet: A Meta-Framework for Learning on Wild Meshes
by: Edelstein, Michal, et al.
Published: (2025)

BioHuman: Learning Biomechanical Human Representations from Video
by: Huo, Yujun, et al.
Published: (2026)

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
by: Shen, Tianchang, et al.
Published: (2024)

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
by: Chen, Qimin, et al.
Published: (2024)