collaborators

6 papers

cs.CV2026

Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation

Chonghuinan Wang, Zhikai Chen, Chunwei Wang +9

The advancement of generative AI models capable of producing text and image marks a critical step forward in the realm of multimodal intelligence, particularly for tasks involving…

cs.CV2026

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis

Yecong Wan, Fan Li, Mingwen Shao +1

Generalizable novel view synthesis aims to render unseen views from uncalibrated input images without requiring per-scene optimization. Recent feed-forward approaches based on 3D G…

cs.CV2026

InterCoG: Towards Spatially Precise Image Editing with Interleaved Chain-of-Grounding Reasoning

Yecong Wan, Fan Li, Chunwei Wang +3

Emerging unified editing models have demonstrated strong capabilities in general object editing tasks. However, it remains a significant challenge to perform fine-grained editing i…

cs.CV2026

Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer

Yecong Wan, Mingwen Shao, Renlong Wu +1

In this work, we present Color3D, a highly adaptable framework for colorizing both static and dynamic 3D scenes from monochromatic inputs, delivering visually diverse and chromatic…

cs.CV2025

Removing Multiple Hybrid Adverse Weather in Video via a Unified Model

Yecong Wan, Mingwen Shao, Yuanshuo Cheng +2

Videos captured under real-world adverse weather conditions typically suffer from uncertain hybrid weather artifacts with heterogeneous degradation distributions. However, existing…

cs.CV2025

S2Gaussian: Sparse-View Super-Resolution 3D Gaussian Splatting

Yecong Wan, Mingwen Shao, Yuanshuo Cheng +1

In this paper, we aim ambitiously for a realistic yet challenging problem, namely, how to reconstruct high-quality 3D scenes from sparse low-resolution views that simultaneously su…