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20192026
most citedLRM: Large Reconstruction Model for Single Image to 3D

31 citations · 66 across the 31 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CV2026

Same Space or Not: Benchmarking Spatial Intelligence Through Cross-View Contradictions

Huizi Cao, Guanyu Xu, Zhixuan Liang +5

Spatial intelligence, the capacity to represent and reason about physical space, underlies embodied perception and real-world visual understanding. Existing benchmarks probe it thr…

cs.CV2026

Joint and Cross-Modal Video-Audio Generation and Editing: A Unified Formulation and Design Taxonomy

Abhinav Sharma, Sai Karthik Navuluru, Wang Wei +21

Video and audio are perceived together, yet most generative models treat them in isolation. We examine methods that model the two modalities jointly, generate one from the other, o…

cs.CL2026

A Survey on LLM-based Conversational User Simulation

Bo Ni, Leyao Wang, Yu Wang +27

User simulation has long played a vital role in computer science due to its potential to support a wide range of applications. Language, as the primary medium of human communicatio…

cs.CL2026

Reasoning-Based Personalized Generation for Users with Sparse Data

Bo Ni, Branislav Kveton, Samyadeep Basu +14

Large Language Model (LLM) personalization holds great promise for tailoring responses by leveraging personal context and history. However, real-world users usually possess sparse…

cs.CV2026

LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

Shufan Li, Yuchen Zhu, Jiuxiang Gu +6

Diffusion language models (dLLMs) recently emerged as a promising alternative to auto-regressive LLMs. The latest works further extended it to multimodal understanding and generati…

cs.CV2026

MiLDEdit: Reasoning-Based Multi-Layer Design Document Editing

Zihao Lin, Wanrong Zhu, Jiuxiang Gu +8

Real-world design documents (e.g., posters) are inherently multi-layered, combining decoration, text, and images. Editing them from natural-language instructions requires fine-grai…