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20242026
most citedTowards Unified Multimodal Editing with Enhanced Knowledge Collaboration

2 citations · 2 across the 13 of their papers we have counts for

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cs.CV2026

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness

Haiyi Qiu, Kaihang Pan, Jiacheng Li +3

Recent unified image generation models have achieved remarkable success by employing MLLMs for semantic understanding and diffusion backbones for image generation. However, these m…

cs.CV2026

OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning

Kaihang Pan, Qi Tian, Jianwei Zhang +11

While proprietary systems such as Seedance-2.0 have achieved remarkable success in omni-capable video generation, open-source alternatives significantly lag behind. Most academic m…

cs.CV2025

OmniMoGen: Unifying Human Motion Generation via Learning from Interleaved Text-Motion Instructions

Wendong Bu, Kaihang Pan, Yuze Lin +6

Large language models (LLMs) have unified diverse linguistic tasks within a single framework, yet such unification remains unexplored in human motion generation. Existing methods a…

cs.CV2025

WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing

Kaihang Pan, Weile Chen, Haiyi Qiu +6

Recent image editing models boast next-level intelligent capabilities, facilitating cognition- and creativity-informed image editing. Yet, existing benchmarks provide too narrow a…

cs.CV2025

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities

Wendong Bu, Yang Wu, Qifan Yu +10

As multimodal large language models (MLLMs) advance, MLLM-based virtual agents have demonstrated remarkable performance. However, existing benchmarks face significant limitations,…

cs.CV2025

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL

Kaihang Pan, Wendong Bu, Yuruo Wu +7

Recent studies extend the autoregression paradigm to text-to-image generation, achieving performance comparable to diffusion models. However, our new PairComp benchmark -- featurin…