Haohan Weng
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View article: Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation
Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation Open
The creation of high-quality 3D assets, a cornerstone of modern game development, has long been characterized by labor-intensive and specialized workflows. This paper presents Hunyuan3D Studio, an end-to-end AI-powered content creation pla…
View article: FreeMesh: Boosting Mesh Generation with Coordinates Merging
FreeMesh: Boosting Mesh Generation with Coordinates Merging Open
The next-coordinate prediction paradigm has emerged as the de facto standard in current auto-regressive mesh generation methods. Despite their effectiveness, there is no efficient measurement for the various tokenizers that serialize meshe…
View article: Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation Open
Triangle meshes are fundamental to 3D applications, enabling efficient modification and rasterization while maintaining compatibility with standard rendering pipelines. However, current automatic mesh generation methods typically rely on i…
View article: Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation Open
We present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets. This system includes two foundation components: a large-scale shape generation model -- Hunyuan3D-DiT, and a large-sca…
View article: Scaling Mesh Generation via Compressive Tokenization
Scaling Mesh Generation via Compressive Tokenization Open
We propose a compressive yet effective mesh representation, Blocked and Patchified Tokenization (BPT), facilitating the generation of meshes exceeding 8k faces. BPT compresses mesh sequences by employing block-wise indexing and patch aggre…
View article: PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance
PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance Open
Generating compact and sharply detailed 3D meshes poses a significant challenge for current 3D generative models. Different from extracting dense meshes from neural representation, some recent works try to model the native mesh distributio…
View article: Desigen: A Pipeline for Controllable Design Template Generation
Desigen: A Pipeline for Controllable Design Template Generation Open
Templates serve as a good starting point to implement a design (e.g., banner, slide) but it takes great effort from designers to manually create. In this paper, we present Desigen, an automatic template creation pipeline which generates ba…
View article: Consistent123: Improve Consistency for One Image to 3D Object Synthesis
Consistent123: Improve Consistency for One Image to 3D Object Synthesis Open
Large image diffusion models enable novel view synthesis with high quality and excellent zero-shot capability. However, such models based on image-to-image translation have no guarantee of view consistency, limiting the performance for dow…
View article: Learn and Sample Together: Collaborative Generation for Graphic Design Layout
Learn and Sample Together: Collaborative Generation for Graphic Design Layout Open
In the process of graphic layout generation, user specifications including element attributes and their relationships are commonly used to constrain the layouts (e.g.,"put the image above the button''). It is natural to encode spatial cons…
View article: OneDConv: Generalized Convolution For Transform-Invariant Representation
OneDConv: Generalized Convolution For Transform-Invariant Representation Open
Convolutional Neural Networks (CNNs) have exhibited their great power in a variety of vision tasks. However, the lack of transform-invariant property limits their further applications in complicated real-world scenarios. In this work, we p…