most citedSeed1.5-VL Technical Report

1 citations · 1 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CV2025

Glance: Accelerating Diffusion Models with 1 Sample

Zhuobai Dong, Rui Zhao, Songjie Wu +5

Diffusion models have achieved remarkable success in image generation, yet their deployment remains constrained by the heavy computational cost and the need for numerous inference…

cs.CV2025

UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback

Ropeway Liu, Hangjie Yuan, Bo Dong +6

Relighting is a crucial task with both practical demand and artistic value, and recent diffusion models have shown strong potential by enabling rich and controllable lighting effec…

cs.CV2025

MatDecompSDF: High-Fidelity 3D Shape and PBR Material Decomposition from Multi-View Images

Chengyu Wang, Isabella Bennett, Henry Scott +4

We present MatDecompSDF, a novel framework for recovering high-fidelity 3D shapes and decomposing their physically-based material properties from multi-view images. The core challe…

cs.CV20251 cited

Seed1.5-VL Technical Report

Dong Guo, Faming Wu, Feida Zhu +194

We present Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning. Seed1.5-VL is composed with a 532M-parameter v…

cs.CV2025

TMT: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation

Enming Zhang, Zhengyu Li, Yanru Wu +5

Recent advances in Vision Transformers (ViTs) have significantly advanced semantic segmentation performance. However, their adaptation to new target domains remains challenged by d…

cs.GR2025

Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors

Yuke Lou, Yiming Wang, Zhen Wu +4

Human-object interaction (HOI) synthesis is important for various applications, ranging from virtual reality to robotics. However, acquiring 3D HOI data is challenging due to its c…