activity
20172026
most citedMVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion

26 citations · 91 across the 18 of their papers we have counts for

collaborators

20 papers

cs.IR2026

AdaM-Rec: Adaptive Modality Routing for Multimodal Recommendation

Honghao Fu, Jiacheng Chen, Manxi Lin +7

While recent multimodal recommender systems have demonstrated the effectiveness of incorporating visual and textual information to improve downstream performance, most existing met…

cs.IR2026

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping

Jiacheng Chen, Tao Zhang, Manxi Lin +26

The wave of AI-native applications is moving shopping beyond page- and feed-based browsing toward intent-driven experiences orchestrated by LLM agents. A common design wraps an LLM…

cs.CV2026

ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning

Yiming Zhang, Jiacheng Chen, Jiaqi Tan +3

Current evaluations of spatial intelligence can be systematically invalid under modern vision-language model (VLM) settings. First, many benchmarks derive question-answer (QA) pair…

cs.CV2025

AutoScape: Geometry-Consistent Long-Horizon Scene Generation

Jiacheng Chen, Ziyu Jiang, Mingfu Liang +5

This paper proposes AutoScape, a long-horizon driving scene generation framework. At its core is a novel RGB-D diffusion model that iteratively generates sparse, geometrically cons…

cs.CV2025

BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing

Jiacheng Chen, Ramin Mehran, Xuhui Jia +2

We present BlenderFusion, a generative visual compositing framework that synthesizes new scenes by recomposing objects, camera, and background. It follows a layering-editing-compos…

cs.CV2024

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks

Jiacheng Chen, Tianhao Liang, Sherman Siu +13

We present MEGA-Bench, an evaluation suite that scales multimodal evaluation to over 500 real-world tasks, to address the highly heterogeneous daily use cases of end users. Our obj…