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20212026
most citedImplicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes

22 citations · 52 across the 26 of their papers we have counts for

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17 papers · 1 filter

cs.CV2026

Autoregressive B-Rep Shape Generation with Parametric Surfaces

Dafei Qin, Rui Xu, Zeyu Shen +8

Generative CAD modeling has broad design and application potential. Despite significant advances in Boundary Representation (B-Rep) generation, the dominant representation in CAD,…

cs.CV2026

Learning a Delighting Prior for Facial Appearance Capture in the Wild

Yuxuan Han, Xin Ming, Tianxiao Li +4

High-quality facial appearance capture has traditionally required costly studio recording. Recent works consider an in-the-wild smartphone-based setup; however, their model-based i…

cs.CV2026

Strips as Tokens: Artist Mesh Generation with Native UV Segmentation

Rui Xu, Dafei Qin, Kaichun Qiao +8

Recent advancements in autoregressive transformers have demonstrated remarkable potential for generating artist-quality meshes. However, the token ordering strategies employed by e…

cs.CV2026

TAPESTRY: From Geometry to Appearance via Consistent Turntable Videos

Yan Zeng, Haoran Jiang, Kaixin Yao +4

Automatically generating photorealistic and self-consistent appearances for untextured 3D models is a critical challenge in digital content creation. The advancement of large-scale…

cs.CV2025

WildCap: Facial Albedo Capture in the Wild via Hybrid Inverse Rendering

Yuxuan Han, Xin Ming, Tianxiao Li +4

Existing methods achieve high-quality facial albedo capture under controllable lighting, which increases capture cost and limits usability. We propose WildCap, a novel method for h…

cs.CV2025

Mojito: LLM-Aided Motion Instructor with Jitter-Reduced Inertial Tokens

Ziwei Shan, Yaoyu He, Chengfeng Zhao +5

Human bodily movements convey critical insights into action intentions and cognitive processes, yet existing multimodal systems primarily focused on understanding human motion via…

cs.CV2025

TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints

Pengyu Long, Zijun Zhao, Min Ouyang +5

Hairstyles are intricate and culturally significant with various geometries, textures, and structures. Existing text or image-guided generation methods fail to handle the richness…

cs.CV2025

CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image

Kaixin Yao, Longwen Zhang, Xinhao Yan +6

Recovering high-quality 3D scenes from a single RGB image is a challenging task in computer graphics. Current methods often struggle with domain-specific limitations or low-quality…

cs.CV2024★ 4 cited

CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets

Longwen Zhang, Ziyu Wang, Qixuan Zhang +6

In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is often hampered by the limitations of existing digital tools, which demand extensi…

cs.CV2024★ 3 cited

Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance

Qingcheng Zhao, Pengyu Long, Qixuan Zhang +6

The synthesis of 3D facial animations from speech has garnered considerable attention. Due to the scarcity of high-quality 4D facial data and well-annotated abundant multi-modality…

cs.CV2024★ 1 cited

DressCode: Autoregressively Sewing and Generating Garments from Text Guidance

Kai He, Kaixin Yao, Qixuan Zhang +3

Apparel's significant role in human appearance underscores the importance of garment digitalization for digital human creation. Recent advances in 3D content creation are pivotal f…

cs.CV2022

Relightable Neural Human Assets from Multi-view Gradient Illuminations

Taotao Zhou, Kai He, Di Wu +6

Human modeling and relighting are two fundamental problems in computer vision and graphics, where high-quality datasets can largely facilitate related research. However, most exist…

cs.CV2022★ 2 cited

SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator

Zesong Qiu, Yuwei Li, Dongming He +8

Recent years have seen growing interest in 3D human faces modelling due to its wide applications in digital human, character generation and animation. Existing approaches overwhelm…

cs.CV2022★ 2 cited

Video-driven Neural Physically-based Facial Asset for Production

Longwen Zhang, Chuxiao Zeng, Qixuan Zhang +5

Production-level workflows for producing convincing 3D dynamic human faces have long relied on an assortment of labor-intensive tools for geometry and texture generation, motion ca…

cs.CV2021★ 2 cited

Towards Controllable and Photorealistic Region-wise Image Manipulation

Ansheng You, Chenglin Zhou, Qixuan Zhang +1

Adaptive and flexible image editing is a desirable function of modern generative models. In this work, we present a generative model with auto-encoder architecture for per-region s…

cs.CV2021★ 1 cited

Convolutional Neural Opacity Radiance Fields

Haimin Luo, Anpei Chen, Qixuan Zhang +4

Photo-realistic modeling and rendering of fuzzy objects with complex opacity are critical for numerous immersive VR/AR applications, but it suffers from strong view-dependent brigh…

cs.CV2021★ 1 cited

Neural Video Portrait Relighting in Real-time via Consistency Modeling

Longwen Zhang, Qixuan Zhang, Minye Wu +2

Video portraits relighting is critical in user-facing human photography, especially for immersive VR/AR experience. Recent advances still fail to recover consistent relit result un…