6 papers
P3D-Bench: Benchmarking MLLMs for Parametric 3D Generation and Structural Reasoning
Yikang Yang, Zhanpeng Hu, Youtian Lin +5
Multimodal large language models can write code to produce complex programs as well as use programs to do 3D modeling, which opens up a new avenue for 3D generation powered by thei…
TEXTRIX: Latent Attribute Grid for Native Texture Generation and Beyond
Yifei Zeng, Yajie Bao, Jiachen Qian +7
Prevailing 3D texture generation methods, which often rely on multi-view fusion, are frequently hindered by inter-view inconsistencies and incomplete coverage of complex surfaces,…
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Sili Chen, Hengkai Guo, Shengnan Zhu +4
Depth Anything has achieved remarkable success in monocular depth estimation with strong generalization ability. However, it suffers from temporal inconsistency in videos, hinderin…
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Shuang Wu, Youtian Lin, Feihu Zhang +8
Generating high-resolution 3D shapes using volumetric representations such as Signed Distance Functions (SDFs) presents substantial computational and memory challenges. We introduc…
S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation
Yurui Chen, Junge Zhang, Ziyang Xie +4
Autonomous driving simulation system plays a crucial role in enhancing self-driving data and simulating complex and rare traffic scenarios, ensuring navigation safety. However, tra…
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
Peng Li, Yuan Liu, Xiaoxiao Long +10
In this paper, we introduce Era3D, a novel multiview diffusion method that generates high-resolution multiview images from a single-view image. Despite significant advancements in…