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

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Magic 1-For-1: Generating One Minute Video Clips within One Minute

Hongwei Yi, Shitong Shao, Tian Ye +7

In this technical report, we present Magic 1-For-1 (Magic141), an efficient video generation model with optimized memory consumption and inference latency. The key idea is simple:…

cs.CV20251 cited

AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene

Chaoran Feng, Wangbo Yu, Xinhua Cheng +4

Compared to frame-based methods, computational neuromorphic imaging using event cameras offers significant advantages, such as minimal motion blur, enhanced temporal resolution, an…

cs.CE2025

Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding

Liuzhenghao Lv, Hao Li, Yu Wang +5

Chemical language models (CLMs) are prominent for their effectiveness in exploring chemical space and enabling molecular engineering. However, while exploring chemical-linguistic s…

cs.CE2024

Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics

Zijun Chen, Yu Wang, Liuzhenghao Lv +4

Efficiently retrieving an enormous chemical library to design targeted molecules is crucial for accelerating drug discovery, organic chemistry, and optoelectronic materials. Despit…

cs.CV20243 cited

ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Wangbo Yu, Jinbo Xing, Li Yuan +7

Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-view captures restricts their broader applicability. In this work, we propose \textbf{ViewCra…