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

3 citations · 10 across the 19 of their papers we have counts for

collaborators

23 papers

cs.CV2026

Multics: Generative Multi-Player World Model with Hierarchical Communication

Kaiyi Huang, Wangbo Yu, Yukun Huang +6

Multi-player interactive world models aim to simulate shared environments from multiple players' perspectives, but achieving robust generation while scaling to more players remains…

cs.CV2026

WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory

Wangbo Yu, Kunhao Liu, Wenbo Hu +8

Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present WorldCraf…

cs.CV2026

GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation

Jiahao Lu, Minghao Yin, Wenbo Hu +5

We present a compact geometry-native latent space as a shared foundation for perception and generation. Visual generators can produce photorealistic frames without preserving a con…

cs.CV2026

SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion Transformers

Minghao Yin, Jiahao Lu, Wenbo Hu +3

Video diffusion transformers address their tokens by position on the pixel-time grid: an address in the tensor, not in the world. The address we would want, the world point a token…

cs.CV2026

Pixal3D: Pixel-Aligned 3D Generation from Images

Dong-Yang Li, Wang Zhao, Yuxin Chen +5

Recent advances in 3D generative models have rapidly improved image-to-3D synthesis quality, enabling higher-resolution geometry and more realistic appearance. Yet fidelity, which…

cs.CV2026

Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers

Minghao Yin, Wenbo Hu, Jiale Xu +2

Recent breakthroughs in 3D generative modeling have yielded remarkable progress in static shape synthesis, yet high-fidelity dynamic 4D generation remains elusive, hindered by temp…

cs.CV2026

MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

Ruijie Zhu, Jiahao Lu, Wenbo Hu +4

We present MotionCrafter, a framework that leverages video generators to jointly reconstruct 4D geometry and estimate dense motion from a monocular video. The key idea is a joint r…

cs.CV2026

Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels

Jiahao Lu, Jiayi Xu, Wenbo Hu +5

Estimating the 3D trajectory of every pixel from a monocular video is crucial and promising for a comprehensive understanding of the 3D dynamics of videos. Recent monocular 3D trac…

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

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Kunhao Liu, Wenbo Hu, Jiale Xu +2

Streaming video generation, as one fundamental component in interactive world models and neural game engines, aims to generate high-quality, low-latency, and temporally coherent lo…

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.GR2025

GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors

Tian-Xing Xu, Xiangjun Gao, Wenbo Hu +3

Despite remarkable advancements in video depth estimation, existing methods exhibit inherent limitations in achieving geometric fidelity through the affine-invariant predictions, l…

cs.CV2025

TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models

Mark YU, Wenbo Hu, Jinbo Xing +1

We present TrajectoryCrafter, a novel approach to redirect camera trajectories for monocular videos. By disentangling deterministic view transformations from stochastic content gen…

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

TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction

DaDong Jiang, Zhihui Ke, Xiaobo Zhou +5

Dynamic scene reconstruction is a long-term challenge in 3D vision. Recent methods extend 3D Gaussian Splatting to dynamic scenes via additional deformation fields and apply explic…

cs.CV2024★ 2 cited

StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos

Sijie Zhao, Wenbo Hu, Xiaodong Cun +6

This paper presents a novel framework for converting 2D videos to immersive stereoscopic 3D, addressing the growing demand for 3D content in immersive experience. Leveraging founda…

cs.CV2024★ 3 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…

cs.CV2024★ 1 cited

DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Wenbo Hu, Xiangjun Gao, Xiaoyu Li +5

Estimating video depth in open-world scenarios is challenging due to the diversity of videos in appearance, content motion, camera movement, and length. We present DepthCrafter, an…

cs.CV2024★ 1 cited

CV-VAE: A Compatible Video VAE for Latent Generative Video Models

Sijie Zhao, Yong Zhang, Xiaodong Cun +5

Spatio-temporal compression of videos, utilizing networks such as Variational Autoencoders (VAE), plays a crucial role in OpenAI's SORA and numerous other video generative models.…

cs.GR2024★ 1 cited

Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh

Xiangjun Gao, Xiaoyu Li, Yiyu Zhuang +6

Neural 3D representations such as Neural Radiance Fields (NeRF), excel at producing photo-realistic rendering results but lack the flexibility for manipulation and editing which is…

cs.CV2024

Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing

Tian-Xing Xu, Wenbo Hu, Yu-Kun Lai +2

3D Gaussian splatting, emerging as a groundbreaking approach, has drawn increasing attention for its capabilities of high-fidelity reconstruction and real-time rendering. However,…

cs.CV2023★ 1 cited

DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation

Bangbang Yang, Wenqi Dong, Lin Ma +4

Diffusion-based methods have achieved prominent success in generating 2D media. However, accomplishing similar proficiencies for scene-level mesh texturing in 3D spatial applicatio…

cs.CV2023★ 1 cited

HiFi-123: Towards High-fidelity One Image to 3D Content Generation

Wangbo Yu, Li Yuan, Yan-Pei Cao +6

Recent advances in diffusion models have enabled 3D generation from a single image. However, current methods often produce suboptimal results for novel views, with blurred textures…