2 citations · 4 across the 10 of their papers we have counts for
13 papers
PCAsplat: Gaussian Splatting with Local PCA Regularization
Vitor Matias, Filipe Nascimento, Kiyohiro Nakayama +6
Gaussian splatting has emerged as a flexible representation for 3D reconstruction from posed images. However, existing methods are optimized primarily using rasterization-based los…
Level-of-Token Diffusion
Kiyohiro Nakayama, Brian Chao, Jan Ackermann +5
Image and video diffusion models allocate equal computation to every region, even when the intended scene calls for varying levels of detail. The spatial distribution of detail can…
MeshFlow: Mesh Generation with Equivariant Flow Matching
Qi Sun, Kiyohiro Nakayama, Jing Nathan Yan +6
Meshes are among the most common 3D scene representations, but directly generating meshes is challenging because the representation contains important symmetries, including permuta…
Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing
Kiyohiro Nakayama, I-Chao Shen, Ruofan Liu +3
Practical garment design spans two modes: intuitive creation from high-level intent, such as a reference image or text description, and complex low-level editing across 2D sewing p…
Image2Garment: Simulation-ready Garment Generation from a Single Image
Selim Emir Can, Jan Ackermann, Kiyohiro Nakayama +7
Estimating physically accurate, simulation-ready garments from a single image is challenging due to the absence of image-to-physics datasets and the ill-posed nature of this proble…
Towards Vision-Language-Garment Models for Web Knowledge Garment Understanding and Generation
Jan Ackermann, Kiyohiro Nakayama, Guandao Yang +2
Multimodal foundation models have demonstrated strong generalization, yet their ability to transfer knowledge to specialized domains such as garment generation remains underexplore…
RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs
Meng-Hao Guo, Xuanyu Chu, Qianrui Yang +12
The rapid advancement of native multi-modal models and omni-models, exemplified by GPT-4o, Gemini, and o3, with their capability to process and generate content across modalities s…
R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation
Meng-Hao Guo, Jiajun Xu, Yi Zhang +14
Reasoning stands as a cornerstone of intelligence, enabling the synthesis of existing knowledge to solve complex problems. Despite remarkable progress, existing reasoning benchmark…
GenAnalysis: Joint Shape Analysis by Learning Man-Made Shape Generators with Deformation Regularizations
Yuezhi Yang, Haitao Yang, Kiyohiro Nakayama +3
We present GenAnalysis, an implicit shape generation framework that allows joint analysis of man-made shapes, including shape matching and joint shape segmentation. The key idea is…
AIpparel: A Multimodal Foundation Model for Digital Garments
Kiyohiro Nakayama, Jan Ackermann, Timur Levent Kesdogan +6
Apparel is essential to human life, offering protection, mirroring cultural identities, and showcasing personal style. Yet, the creation of garments remains a time-consuming proces…
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You +2
Neural radiance fields (NeRFs) have gained popularity with multiple works showing promising results across various applications. However, to the best of our knowledge, existing wor…
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang +3
Neural radiance fields (NeRF) rely on volume rendering to synthesize novel views. Volume rendering requires evaluating an integral along each ray, which is numerically approximated…
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang +3
While the community of 3D point cloud generation has witnessed a big growth in recent years, there still lacks an effective way to enable intuitive user control in the generation p…