most citedDrag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation

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

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold

Yang Zhou, Ziheng Wang, Yuqin Lu +4

We present MoVerse, a real-time video world model that creates an interactively navigable scene from a single narrow-field-of-view image. This setting is challenging because the in…

cs.CV2026

MoCam: Unified Novel View Synthesis via Structured Denoising Dynamics

Haofeng Liu, Yang Zhou, Ziheng Wang +6

Generative novel view synthesis faces a fundamental dilemma: geometric priors provide spatial alignment but become sparse and inaccurate under view changes, while appearance priors…

cs.CV2026

Self-Corrected Image Generation with Explainable Latent Rewards

Yinyi Luo, Hrishikesh Gokhale, Marios Savvides +2

Despite significant progress in text-to-image generation, aligning outputs with complex prompts remains challenging, particularly for fine-grained semantics and spatial relations.…

cs.CV2026

Teacher-Student Diffusion Model for Text-Driven 3D Hand Motion Generation

Ching-Lam Cheng, Bin Zhu, Shengfeng He

Generating realistic 3D hand motion from natural language is vital for VR, robotics, and human-computer interaction. Existing methods either focus on full-body motion, overlooking…

cs.CV2026

Gimbal360: Canonicalizing Planar Diffusion for Spherical Panorama Completion

Yuqin Lu, Haofeng Liu, Yang Zhou +4

Diffusion models provide powerful priors for 2D image completion, but these priors are learned on bounded planar images and do not transfer directly to panoramas. Persp…

cs.CV2024

Lagrangian Motion Fields for Long-term Motion Generation

Yifei Yang, Zikai Huang, Chenshu Xu +1

Long-term motion generation is a challenging task that requires producing coherent and realistic sequences over extended durations. Current methods primarily rely on framewise moti…

cs.CV2024★ 1 cited

Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation

Haofeng Liu, Chenshu Xu, Yifei Yang +2

Point-based interactive editing serves as an essential tool to complement the controllability of existing generative models. A concurrent work, DragDiffusion, updates the diffusion…