5 citations · 21 across the 61 of their papers we have counts for
26 papers · 1 filter
NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
Ramil Khafizov, Ilya Statsenko, Ruslan Rakhimov +3
Sparse-view novel view synthesis is a central problem in 3D content creation, but diffusion-based approaches remain limited by iterative denoising, making multi-view generation exp…
SuperMotion: Source-Preserving Denoising for Text-Driven Human Motion Editing
Fa-Ting Hong, Peter Wonka
Text-driven human motion editing aims to realize a requested change while preserving compatible source content. Existing diffusion editors rely largely on learned conditioning for…
Atlases Are Already Inside: Recovering Population Templates from Pretrained Diffusion Models
Jian Shi, John Femiani, Peter Wonka
We present a new inference-time sampler for diffusion models that gives a pretrained model a capability it was never trained for: constructing the atlas of the population it synthe…
Disparity Has a Sign: Stereo Matching Beyond the Zero-Disparity Plane
Jian Shi, Xinge Yang, Chaoyang Wang +2
Modern stereo matching models fail when disparity crosses zero, with end-point error (EPE) rising by 4.6-37. Yet stereoscopic content, from cinema 3D to VR, routinely conta…
EgoPlay: Event-Triggered Video Editing for Egocentric Streams
Jinjie Mai, Gordon Guocheng Qian, Willi Menapace +8
We introduce EgoPlay, an event-triggered video-to-video editor for egocentric streams, obtained by fine-tuning a pretrained V2V diffusion transformer on event-conditioned data buil…
TG-Diff: Coupling Discrete Topology Diffusion and Topology-conditioned Geometry Diffusions for B-Rep Generation
MingZe Sun, Haiyong Jiang, Bingchen Yang +4
Boundary representation (B-rep) is the standard format for computer-aided design (CAD). This article proposes a lightweight two-stage diffusion-based B-rep generation framework, TG…
RegHead: Non-Humanoid Head Blendshapes via Feed-Forward Registration
Jiahao Luo, Hao Zhang, Jianqi Chen +9
We present RegHead, a framework for constructing semantic blendshape sets for animatable non-humanoid head avatars. With a fixed expression vocabulary, semantic blendshapes provide…
RAGA: Real Time Ray Traced Gaussian Shadow Casting for 3DGS Avatar-Scene Interaction
Aymen Mir, Riza Alp Guler, Jian Wang +3
We study the problem of physically plausible shadow casting when animating 3D Gaussian Splatting (3DGS) avatars, either individually or in multi-avatar and object-interaction scena…
DivRL: Disentangled Self-Similarity Rewards for Diverse Subject-Driven Generation
Qian Wang, Zhenyu Li, Abdelrahman Eldesokey +1
Subject-driven image generation faces an "Identity-Diversity Paradox", where strong identity preservation often leads to rigid and low-diversity outputs. We propose a post-training…
Lightweight Neural Framework for Robust 3D Volume and Surface Estimation from Multi-View Images
Diego E. Farchione, Ramzi Idoughi, Peter Wonka
Accurate volume and surface area estimation is critical for diverse applications, from marine ecology to medical diagnostics. However, existing methods often suffer from high compu…
MeshLoom: Feed-Forward Non-Rigid Registration of Mesh Sequences
Jianqi Chen, Jiraphon Yenphraphai, Xiangjun Tang +4
We present MeshLoom, a feed-forward registration network that directly reconstructs vertex deformations across mesh sequences. Our approach advances non-rigid registration beyond e…
GeoStream: Toward Precise Camera Controlled Streaming Video Generation
Yizhou Zhao, Yifan Wang, Xiaoyuan Wang +11
Accurate interactive camera control is essential for video-based world models, but most existing approaches learn camera motion implicitly, leading to inaccurate control under out-…
Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans
Fedor Rodionov, Aleksandar Cvejic, Michael Birsak +2
Furnished floor plans support real-estate visualization, interior design, and architectural workflows, yet automatic furnishing remains challenged by limited real-world data and th…
Artic-O: End-to-End Articulated Object Reconstruction via Latent Geometry Learning
Xuyang Wang, Zhenyu Li, Jian Ding +4
Reconstructing articulated objects from sparse images requires recovering complete geometry, movable parts, and motion parameters. Recent methods typically separate geometry recons…
Helix4D: Complex 4D Mesh Generation
Jiraphon Yenphraphai, Jianqi Chen, Jian Wang +6
Current video-to-4D methods struggle with complex topology changes, transparent materials, thin structures, and inner surfaces. We present Helix4D, a dynamic mesh generation framew…
CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Models
Vladislav Pyatov, Gleb Bobrovskikh, Saveliy Galochkin +6
We introduce CADFS, a data-centric framework that enables large vision-language models to generate complex CAD design histories. Existing generative CAD systems are restricted to s…
CriterAlign: Criterion-Centric Rationale Alignment for Code Preference Judging
Zhenyu Li, Aleksandar Cvejic, Zehui Chen +1
Pairwise human preference prediction is central to evaluating code-generation systems, where quality often depends on task-specific trade-offs beyond functional correctness. While…
Patchwork: A compact representation for 3D polygonal shapes
Ruichen Zheng, Biao Zhang, Michael Birsak +2
We introduce Patchwork, a new general-purpose shape representation capable of modeling 2D and 3D geometry with a small number of parameters. Patchwork is grounded in a rigorous mat…
NearID: Identity Representation Learning via Near-identity Distractors
Aleksandar Cvejic, Rameen Abdal, Abdelrahman Eldesokey +2
When evaluating identity-focused tasks such as personalized generation and image editing, existing vision encoders entangle object identity with background context, leading to unre…
EgoPoseFormer v2: Accurate Egocentric Human Motion Estimation for AR/VR
Zhenyu Li, Sai Kumar Dwivedi, Filip Maric +11
Egocentric human motion estimation is essential for AR/VR experiences, yet remains challenging due to limited body coverage from the egocentric viewpoint, frequent occlusions, and…
Any Resolution Any Geometry: From Multi-View To Multi-Patch
Wenqing Cui, Zhenyu Li, Mykola Lavreniuk +4
Joint estimation of surface normals and depth is essential for holistic 3D scene understanding, yet high-resolution prediction remains difficult due to the trade-off between preser…
AHOY! Animatable Humans under Occlusion from YouTube Videos with Gaussian Splatting and Video Diffusion Priors
Aymen Mir, Riza Alp Guler, Xiangjun Tang +2
We present AHOY, a method for reconstructing complete, animatable 3D Gaussian avatars from in-the-wild monocular video despite heavy occlusion. Existing methods assume unoccluded i…
OMEGA-Avatar: One-shot Modeling of 360° Gaussian Avatars
Zehao Xia, Yiqun Wang, Zhengda Lu +3
Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified three desirable attributes of avatar generation: 1) the method shoul…
Geometry without Position? When Positional Embeddings Help and Hurt Spatial Reasoning
Jian Shi, Michael Birsak, Wenqing Cui +2
This paper revisits the role of positional embeddings (PEs) within vision transformers (ViTs) from a geometric perspective. We show that PEs are not mere token indices but effectiv…