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20232026
most citedBakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis

23 citations · 25 across the 11 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CV2025

LaFiTe: A Generative Latent Field for 3D Native Texturing

Chia-Hao Chen, Zi-Xin Zou, Yan-Pei Cao +6

Generating high-fidelity, seamless textures directly on 3D surfaces, what we term 3D-native texturing, remains a fundamental open challenge, with the potential to overcome long-sta…

cs.CV2025

Unified Camera Positional Encoding for Controlled Video Generation

Cheng Zhang, Boying Li, Meng Wei +4

Transformers have emerged as a universal backbone across 3D perception, video generation, and world models for autonomous driving and embodied AI, where understanding camera geomet…

cs.CV2025

Generative Universal Verifier as Multimodal Meta-Reasoner

Xinchen Zhang, Xiaoying Zhang, Youbin Wu +5

We introduce Generative Universal Verifier, a novel concept and plugin designed for next-generation multimodal reasoning in vision-language models and unified multimodal models, pr…

cs.CV2025

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation

Ken Deng, Yunhan Yang, Jingxiang Sun +4

We introduce GeoSAM2, a prompt-controllable framework for 3D part segmentation that casts the task as multi-view 2D mask prediction. Given a textureless object, we render normal an…

cs.CV2025★ 1 cited

OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion

Yunhan Yang, Yufan Zhou, Yuan-Chen Guo +7

The creation of 3D assets with explicit, editable part structures is crucial for advancing interactive applications, yet most generative methods produce only monolithic shapes, lim…

cs.CV2025

SeqTex: Generate Mesh Textures in Video Sequence

Ze Yuan, Xin Yu, Yangtian Sun +4

Training native 3D texture generative models remains a fundamental yet challenging problem, largely due to the limited availability of large-scale, high-quality 3D texture datasets…

cs.CV2025

HoloPart: Generative 3D Part Amodal Segmentation

Yunhan Yang, Yuan-Chen Guo, Yukun Huang +5

3D part amodal segmentation--decomposing a 3D shape into complete, semantically meaningful parts, even when occluded--is a challenging but crucial task for 3D content creation and…

cs.CV2025

GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray Diffusion

Li-Heng Chen, Zi-Xin Zou, Chang Liu +5

Accurate surface reconstruction from unposed images is crucial for efficient 3D object or scene creation. However, it remains challenging, particularly for the joint camera pose es…