1 citations · 1 across the 7 of their papers we have counts for
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LOME: Learning Human-Object Manipulation with Action-Conditioned Egocentric World Model
Quankai Gao, Jiawei Yang, Qiangeng Xu +2
Learning human-object manipulation presents significant challenges due to its fine-grained and contact-rich nature of the motions involved. Traditional physics-based animation requ…
S^2VG: 3D Stereoscopic and Spatial Video Generation via Denoising Frame Matrix
Peng Dai, Feitong Tan, Qiangeng Xu +6
While video generation models excel at producing high-quality monocular videos, generating 3D stereoscopic and spatial videos for immersive applications remains an underexplored ch…
EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis
Alexander Mai, Peter Hedman, George Kopanas +6
We present Exact Volumetric Ellipsoid Rendering (EVER), a method for real-time differentiable emission-only volume rendering. Unlike recent rasterization based approach by 3D Gauss…
LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field
Huan Wang, Feitong Tan, Ziqian Bai +9
Recent works have shown that neural radiance fields (NeRFs) on top of parametric models have reached SOTA quality to build photorealistic head avatars from a monocular video. Howev…
SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix
Peng Dai, Feitong Tan, Qiangeng Xu +5
Video generation models have demonstrated great capabilities of producing impressive monocular videos, however, the generation of 3D stereoscopic video remains under-explored. We p…
MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space
Armand Comas-Massagué, Di Qiu, Menglei Chai +9
We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization. Central to our approach are…
One2Avatar: Generative Implicit Head Avatar For Few-shot User Adaptation
Zhixuan Yu, Ziqian Bai, Abhimitra Meka +6
Traditional methods for constructing high-quality, personalized head avatars from monocular videos demand extensive face captures and training time, posing a significant challenge…
MVDD: Multi-View Depth Diffusion Models
Zhen Wang, Qiangeng Xu, Feitong Tan +6
Denoising diffusion models have demonstrated outstanding results in 2D image generation, yet it remains a challenge to replicate its success in 3D shape generation. In this paper,…
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing
Yushi Lan, Feitong Tan, Di Qiu +8
We present a novel framework for generating photorealistic 3D human head and subsequently manipulating and reposing them with remarkable flexibility. The proposed approach leverage…