activity
20242026
most citedInstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

18 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

Xinwu Ye, Yicheng Mao, Yuxuan Liao +16

Current chemical large language models (LLMs) predominantly rely on explicit Chain-of-Thought (CoT) to solve complex reasoning problems. However, forcing nonverbal tacit chemical l…

cs.CV2025

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

Weiyang Jin, Yuwei Niu, Jiaqi Liao +4

Recently, remarkable progress has been made in Unified Multimodal Models (UMMs), which integrate vision-language generation and understanding capabilities within a single framework…

cs.CV2024

FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction

Jiale Xu, Shenghua Gao, Ying Shan

Sparse-view reconstruction models typically require precise camera poses, yet obtaining these parameters from sparse-view images remains challenging. We introduce FreeSplatter, a s…

cs.CV2024

MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis

Ziming Zhong, Yanxu Xu, Jing Li +4

We present MeshSegmenter, a simple yet effective framework designed for zero-shot 3D semantic segmentation. This model successfully extends the powerful capabilities of 2D segmenta…

cs.CV2024★ 18 cited

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Jiale Xu, Weihao Cheng, Yiming Gao +3

We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalabil…