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20242026
most citedMagnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2026

ControlFlow3D: Distilling Multi-View Knowledge into Latent Flow Matching for Point Cloud Upsampling

Yuang Liu, Zhi Zuo, Zhengkai Zhao +4

Point cloud upsampling is essential for 3D applications but remains challenging due to sparse, under-constrained observations. Multi-view images can resolve geometric ambiguity, bu…

cs.CV2026

GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis

Jiahao He, Yihua Shao, Zhengkai Zhao +6

Dynamic scene reconstruction with 3D Gaussian Splatting requires a balance between fine-grained motion modeling, structural stability, and compact representation. Existing per-prim…