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20192026
most citedImage-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships

50 citations · 61 across the 29 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

Muse Glimmer 30B: An On-Device Agentic Model

Arash Ebrahim Abtahizadeh, Muna Aghamelu, Adil Ahmed +327

We introduce Muse Glimmer, an open-source 30B parameter causal language model with perception encoder, purpose-built for autonomous agentic tasks on consumer hardware. Muse Glimmer…

cs.CV2026

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments

Haoyu Chen, Kaichen Zhou, Hang Hua +11

Video generation models aspire to simulate dynamic environments, and several benchmarks now evaluate memory consistency across frames. However, most assess consistency only while t…

cs.CV2026

AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation

Eric Ji, Qiran Hu, Wufei Ma +4

Synthetic data generation has emerged as a powerful tool for improving data scalability in computer vision. Recent diffusion-based pipelines have demonstrated strong photorealism.…

cs.CV2026

SEMAGIC: Learning Semantically Consistent Deformable 3D Representations from In-the-Wild Images

Sky Cen, Wufei Ma, Guofeng Zhang +2

Learning deformable 3D object models from single-view in-the-wild images has enabled impressive 3D shape reconstruction without supervision. However, it remains unclear whether the…

cs.CV2026

LychSim: A Controllable and Interactive Simulation Framework for Vision Research

Wufei Ma, Chloe Wang, Siyi Chen +3

While self-supervised pretraining has reduced vision systems' reliance on synthetic data, simulation remains an indispensable tool for closed-loop optimization and rigorous out-of-…

cs.CV2026

PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views

Jiaxin Shi, Guofeng Zhang, Wufei Ma +3

Single-view 3D shape retrieval is a fundamental yet challenging task that is increasingly important with the growth of available 3D data. Existing approaches largely fall into two…

cs.CV2026

A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens

Tommie Kerssies, Gabriele Berton, Ju He +5

Anticipating diverse future states is a central challenge in video world modeling. Discriminative world models produce a deterministic prediction that implicitly averages over poss…