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20242026
most citedClass Balance Matters to Active Class-Incremental Learning

8 citations · 15 across the 23 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025

RoomEditor++: A Parameter-Sharing Diffusion Architecture for High-Fidelity Furniture Synthesis

Qilong Wang, Xiaofan Ming, Zhenyi Lin +4

Virtual furniture synthesis, which seamlessly integrates reference objects into indoor scenes while maintaining geometric coherence and visual realism, holds substantial promise fo…

cs.CV2025

QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation

Jiahui Yang, Yongjia Ma, Donglin Di +6

Existing text-to-image models often rely on parameter fine-tuning techniques such as Low-Rank Adaptation (LoRA) to customize visual attributes. However, when combining multiple LoR…

cs.CV2025

Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers

Zhengyao Lv, Tianlin Pan, Chenyang Si +4

Multimodal Diffusion Transformers (MM-DiTs) have achieved remarkable progress in text-driven visual generation. However, even state-of-the-art MM-DiT models like FLUX struggle with…

cs.CV2025

LoViC: Efficient Long Video Generation with Context Compression

Jiaxiu Jiang, Wenbo Li, Jingjing Ren +5

Despite recent advances in diffusion transformers (DiTs) for text-to-video generation, scaling to long-duration content remains challenging due to the quadratic complexity of self-…

cs.CV2025

Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring

Wei Shang, Dongwei Ren, Wanying Zhang +3

Local motion blur in digital images originates from the relative motion between dynamic objects and static imaging systems during exposure. Existing deblurring methods face signifi…

cs.CV2025

High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-Resolution

Wei Shang, Dongwei Ren, Wanying Zhang +3

The primary challenge in accelerating image super-resolution lies in reducing computation while maintaining performance and adaptability. Motivated by the observation that high-fre…

cs.LG2025

Physics Consistency and Latent Dynamics in Spatiotemporal Physics Field Generation

Peimian Du, Jiabin Liu, Xiaowei Jin +2

Data-driven models for spatiotemporal physical field generation, such as flow and acoustic fields, often deviate from governing equations and lack interpretability in latent tempor…

cs.CV2025★ 1 cited

Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting

Feng Yang, Wenliang Qian, Wangmeng Zuo +1

Score Distillation Sampling (SDS) leverages pretrained 2D diffusion models to advance text-to-3D generation but neglects multi-view correlations, being prone to geometric inconsist…

cs.CV2025

FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors

Yabo Zhang, Xinpeng Zhou, Yihan Zeng +3

Interactive image editing allows users to modify images through visual interaction operations such as drawing, clicking, and dragging. Existing methods construct such supervision s…