arXiv Computer Vision

COSY: Compositional 3DGS Synthesis for Disentangled Human Head Editing

The paper introduces COSY, a new generator architecture for 3D Gaussian Splatting (3DGS) GANs that synthesizes human head components—hair, skin, glasses, and torso—independently, enabling precise editing of individual attributes without affecting others. It achieves this disentanglement using only sparse color cues, avoiding the need for segmentation masks or geometric priors, and incorporates minimal shared context tokens to maintain consistent shape and lighting. Compared to prior methods, COSY offers improved disentanglement, more accurate editing control, and competitive visual quality.

arXiv Computer Vision

Sep 18

AGORA: Adversarial Generation Of Real-time Animatable 3D Gaussian Head Avatars

AGORA is a new framework that extends 3D Gaussian Splatting with a generative adversarial network to produce high‑fidelity, animatable 3D head avatars. It introduces a lightweight FLAME‑conditioned deformation branch that predicts per‑Gaussian residuals for identity‑preserving, fine‑grained expression control, and a dual‑discriminator training scheme that enforces expression fidelity. The system achieves real‑time inference at 250 FPS on a single GPU and, for the first time, CPU‑only animatable 3DGS avatar synthesis at ~9 FPS.

By Ramazan Fazylov, Sergey Zagoruyko, Aleksandr Parkin, Stamatis Lefkimmiatis, Ivan Laptev

benchmarks safety

arXiv AI

Jul 21

Identity-Consistent Expression Fields: A Disentangled Neural Radiance Field Framework for Few-Shot Facial Expression Synthesis

arXiv:2607. 16287v1 Announce Type: cross Abstract: Neural Radiance Fields (NeRF) have enabled photorealistic novel-view synthesis of 3D scenes and, in the facial domain, have been extended to reconstruct and animate 3D face models from a small number of images.

By Minh Tran

arXiv Computer Vision

Aug 25

Spatiotemporally Decoupled Autoregressive Diffusion Model for Human Motion Generation

arXiv:2608.23279v1 Announce Type: new Abstract: Text-driven human motion synthesis has made substantial development with two core modules of motion representation and generative architecture. For rep...

By Chengqun Yang, Liang Xu, Yanping Li, Fulong Liu, Jingnan Gao, Weili Zeng, Yichao Yan

diffusion efficiency benchmarks

arXiv Computer Vision

Oct 2

EditVerse3D: High-Quality 3D Object Editing with Region-Aware Learning

arXiv:2607.07187v2 Announce Type: replace Abstract: Local editing of 3D objects remains a long-standing challenge. When interacting with 3D content, humans naturally tend to specify a coarse region o...

By Youtan Yin, Yanning Zhou, Jiacheng Wei, Xiaofeng Yang, Jun Zhang, Jiayang Bai, Jingwen Ye, Weidong Zhang, Guosheng Lin

Hugging Face Trending Papers

Aug 19

SemanticSlider3D: Training-Free Continuous Semantic Editing for 3D Objects

Fine-grained control over continuous semantic attributes of 3D objects is essential for 3D content creation, but is not well supported by conventional 3D modeling workflows or prompt-based interaction...

diffusion benchmarks

arXiv Computer Vision

Oct 5

ChromaGS: Text-Driven Semantic Editing of 4D Gaussian Avatars

ChromaGS is a real‑time, language‑guided method for color editing of animatable 3D Gaussian head avatars. It augments each Gaussian primitive with learned soft assignments to semantic regions and decomposes colors into region‑level base colors and Gaussian‑level residuals, enabling coherent color transfer while preserving fine details. A two‑stage language pipeline translates natural‑language instructions into target colors, supporting both absolute and relative adjustments without requiring retraining.

By Antonio Canela, Jordi S\`anchez-Riera

arXiv AI

Jun 3

Towards Robust Sequential Decomposition for Complex Image Editing

arXiv:2605. 09233v2 Announce Type: replace-cross Abstract: Recent advances in visual generative models have enabled high-fidelity image editing guided by human instructions.

By Zilai Zeng, Mingdeng Cao, Zijie Li, Xiaochen Lian, Yichun Shi, Peihao Zhu, Chen Sun, Peng Wang

robotics fine-tuning data-engineering

arXiv Computer Vision

Aug 27

FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry

arXiv:2607.18227v2 Announce Type: replace Abstract: In line with the prevailing direction of vision research, we explore the integration of both generation and editing capabilities for video and imag...

By Dingyun Zhang, Lixue Gong, Wei Liu

computer-vision fine-tuning multimodal

arXiv AI

Jul 1

Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling

arXiv:2507. 11061v3 Announce Type: replace-cross Abstract: Recent advances in 3D neural representations and instance-level editing models have enabled the efficient creation of high-quality 3D content.

By Hayeon Kim, Ji Ha Jang, Se Young Chun

efficiency benchmarks

arXiv Computer Vision

Sep 30

JointEdit3D: Feed-Forward 3D Scene Editing in a Unified Latent Space

arXiv:2606.13345v2 Announce Type: replace Abstract: Existing 3D scene editing methods typically rely on per-scene optimization over explicit 3D representations or cascaded edit-and-reconstruct pipeli...

By Xinnan Zhu, Ruijie Xu, Jiayu Ying, Daoguo Dong, Jiachen Xu, Yuan Xie, Xin Tan

diffusion benchmarks

arXiv Computer Vision

Sep 1

SemanticSlider3D: Training-Free Continuous Semantic Editing for 3D Objects

arXiv:2608.18560v2 Announce Type: replace-cross Abstract: Fine-grained control over continuous semantic attributes of 3D objects is essential for 3D content creation, but is not well supported by con...

By Ru Wang, Rahul Jain, Koichiro Niinuma, Aakar Gupta

diffusion benchmarks

arXiv Computer Vision

Aug 21

ID-V2V: Identity-Preserving Video Restylization

arXiv:2607. 22830v2 Announce Type: replace Abstract: In visual storytelling, human performances are central to creative intent and narrative meaning.

By Yuancheng Xu, Mingming He, Pablo Salamanca, Li Ma, Yash Kant, Emmett Steven, Paul Debevec, Ning Yu

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