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Found 16 papers, 5 papers with code
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation
Real-world applications like video gaming and virtual reality often demand the ability to model 3D scenes that users can explore along custom camera trajectories.
Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning
Existing pretrained models for 3D mesh generation often suffer from data biases and produce low-quality results, while global reinforcement learning (RL) methods rely on object-level rewards that struggle to capture local structure details.
FreeMesh: Boosting Mesh Generation with Coordinates Merging
We hope that the proposed PTME and coordinate merging can enhance the existing mesh tokenizers and guide the further development of native mesh generation.
Unleashing Vecset Diffusion Model for Fast Shape Generation
To address these challenges, we present FlashVDM, a systematic framework for accelerating both VAE and DiT in VDM.
PBR3DGen: A VLM-guided Mesh Generation with High-quality PBR Texture
In this work, we present PBR3DGen, a two-stage mesh generation method with high-quality PBR materials that integrates the novel multi-view PBR material estimation model and a 3D PBR mesh reconstruction model.
MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusion
Physically-based rendering (PBR) has become a cornerstone in modern computer graphics, enabling realistic material representation and lighting interactions in 3D scenes.
Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
To address these challenges, we propose Nautilus, a locality-aware autoencoder for artist-like mesh generation that leverages the local properties of manifold meshes to achieve structural fidelity and efficient representation.
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
This system includes two foundation components: a large-scale shape generation model -- Hunyuan3D-DiT, and a large-scale texture synthesis model -- Hunyuan3D-Paint.
TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction
To address the above issue, we design a plug-and-play module called TimeFormer to enable existing deformable 3D Gaussians reconstruction methods with the ability to implicitly model motion patterns from a learning perspective.
Scaling Mesh Generation via Compressive Tokenization
We propose a compressive yet effective mesh representation, Blocked and Patchified Tokenization (BPT), facilitating the generation of meshes exceeding 8k faces.
Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
To address this issue, we propose a two-stage approach named Hunyuan3D 1. 0 including a lite version and a standard version, that both support text- and image-conditioned generation.
FlexiTex: Enhancing Texture Generation with Visual Guidance
Recent texture generation methods achieve impressive results due to the powerful generative prior they leverage from large-scale text-to-image diffusion models.
MRFS: Mutually Reinforcing Image Fusion and Segmentation
Then the cascade of IGM-Att and PC-Att couples image fusion and semantic segmentation tasks implicitly bringing vision-related and semantics-related features into closer alignment.
DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection
We further propose a parallel design that integrates the convolutional network with a powerful self-attention mechanism to provide complementary clues between the attention path and convolutional path.
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
Recognizing text in the wild is a really challenging task because of complex backgrounds, various illuminations and diverse distortions, even with deep neural networks (convolutional neural networks and recurrent neural networks).
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos
We present a novel method of integrating motion and appearance cues for foreground object segmentation in unconstrained videos.
