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20232026
most citedViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

3 citations · 5 across the 5 of their papers we have counts for

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cs.CV2026

VerseCrafter: Dynamic Realistic Video World Model with 4D Geometric Control

Sixiao Zheng, Minghao Yin, Wenbo Hu +3

Video world models aim to simulate dynamic, real-world environments, yet existing methods struggle to provide unified and precise control over camera and multi-object motion, as vi…

cs.CV2025

IC-Custom: Diverse Image Customization via In-Context Learning

Yaowei Li, Xiaoyu Li, Zhaoyang Zhang +11

Image customization, a crucial technique for industrial media production, aims to generate content that is consistent with reference images. However, current approaches conventiona…

cs.CV2025

EF-VI: Enhancing End-Frame Injection for Video Inbetweening

Liuhan Chen, Xiaodong Cun, Xiaoyu Li +5

Video inbetweening aims to synthesize intermediate video sequences conditioned on the given start and end frames. Current state-of-the-art methods primarily extend large-scale pre-…

cs.CV2025

BlobCtrl: Taming Controllable Blob for Element-level Image Editing

Yaowei Li, Lingen Li, Zhaoyang Zhang +6

As user expectations for image editing continue to rise, the demand for flexible, fine-grained manipulation of specific visual elements presents a challenge for current diffusion-b…

cs.CV2024

NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images

Lingen Li, Zhaoyang Zhang, Yaowei Li +7

Recent advancements in generative models have significantly improved novel view synthesis (NVS) from multi-view data. However, existing methods depend on external multi-view alignm…

cs.CV2024

DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation

Minghong Cai, Xiaodong Cun, Xiaoyu Li +5

Sora-like video generation models have achieved remarkable progress with a Multi-Modal Diffusion Transformer MM-DiT architecture. However, the current video generation models predo…