:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Coumar, Sai, Kingston, Zachary
Format:	Preprint
Published:	2025
Subjects:	Graphics Machine Learning
Online Access:	https://arxiv.org/abs/2503.14375
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance
by: Peng, Siyuan, et al.
Published: (2024)

Quantum Machine Learning Playground
by: Debus, Pascal, et al.
Published: (2025)

A General Approach to Visualizing Uncertainty in Statistical Graphics
by: Petek, Bernarda, et al.
Published: (2025)

Emotion Knowledge Enhancement for Vision Large Language Models: A Self-Verification Approach for High-Quality Emotion Instruction Data Generation
by: Wang, Feifan, et al.
Published: (2025)

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning
by: Hong, Matt-Heun, et al.
Published: (2024)

Hierarchical Neural Surfaces for 3D Mesh Compression
by: Pentapati, Sai Karthikey, et al.
Published: (2025)

A Neural-Network-Based Approach for Loose-Fitting Clothing
by: Jin, Yongxu, et al.
Published: (2024)

PaintBench: Deterministic Evaluation of Precise Visual Editing
by: Xu, Kai, et al.
Published: (2026)

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams
by: Zhou, Yang, et al.
Published: (2025)

PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
by: Hsu, HsiaoYuan, et al.
Published: (2025)

Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM
by: Mews, Maximilian, et al.
Published: (2024)

MCMC: Bridging Rendering, Optimization and Generative AI
by: Singh, Gurprit, et al.
Published: (2025)

Gen-C: Populating Virtual Worlds with Generative Crowds
by: Panayiotou, Andreas, et al.
Published: (2025)

A Few-Step Generative Model on Cumulative Flow Maps
by: Li, Zhiqi, et al.
Published: (2026)

Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
by: Bui, Anh, et al.
Published: (2025)

Learning to Importance Sample in Primary Sample Space
by: Zheng, Quan, et al.
Published: (2018)

LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation
by: Dong, Xiaoqi, et al.
Published: (2025)

FlexControl: Computation-Aware ControlNet with Differentiable Router for Text-to-Image Generation
by: Fang, Zheng, et al.
Published: (2025)

SpotDiff: Spotting and Disentangling Interference in Feature Space for Subject-Preserving Image Generation
by: Li, Yongzhi, et al.
Published: (2025)

MidSurfNet: Learnable Face Pairing and Interference Implicit Fields for Generalized Mid-surface Abstraction
by: Ye, Li, et al.
Published: (2026)

ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations
by: Grigorev, Artur, et al.
Published: (2024)

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models
by: Wang, Shuting, et al.
Published: (2025)

FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation
by: Cuba, Manolo Canales, et al.
Published: (2025)

Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
by: Ma, Jingtian, et al.
Published: (2025)

GraphShaper: Geometry-aware Alignment for Improving Transfer Learning in Text-Attributed Graphs
by: Zhang, Heng, et al.
Published: (2025)

Attention-Based Learning for Fluid State Interpolation and Editing in a Time-Continuous Framework
by: Roy, Bruno
Published: (2024)

H4G: Unlocking Faithful Inference for Zero-Shot Graph Learning in Hyperbolic Space
by: Zhang, Heng, et al.
Published: (2025)

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

Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework
by: Zhou, Dongliang, et al.
Published: (2025)

Steerable Scene Generation with Post Training and Inference-Time Search
by: Pfaff, Nicholas, et al.
Published: (2025)

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

Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing
by: Xie, Xuanting, et al.
Published: (2025)

Augmented Reality Demonstrations for Scalable Robot Imitation Learning
by: Yang, Yue, et al.
Published: (2024)

ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting
by: Müller, David, et al.
Published: (2026)

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

MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control
by: Peng, Xue Bin
Published: (2025)

Story2Board: A Training-Free Approach for Expressive Storyboard Generation
by: Dinkevich, David, et al.
Published: (2025)

Training Datasets Generation for Machine Learning: Application to Vision Based Navigation
by: Lebreton, Jérémy, et al.
Published: (2024)

Generative Panoramic Image Stitching
by: Tuli, Mathieu, et al.
Published: (2025)

ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting
by: Liu, Yu, et al.
Published: (2025)