https://chensjtu.github.io/Chen Yang — Research and Product Updates2026-08-18T00:00:00+08:00Recent research, publications, and 3D intelligence product updates from Chen Yang.Chen Yanghttps://orcid.org/0000-0003-4496-7849https://chensjtu.github.io/papers/sculpt.htmlSCULPT: Subtractive Composition for 3D Part Generation2026-08-13T00:00:00+08:002026-08-13T00:00:00+08:00SCULPT introduces subtractive composition in a structured 3D latent space to generate adaptive, editable, part-aware 3D assets with consistent shared boundaries.https://chensjtu.github.io/#news-pixel-artisan-pro-usersPixel Artisan PRO surpasses 40,000 users2026-06-12T00:00:00+08:002026-06-12T00:00:00+08:00Pixel Artisan PRO surpassed 40,000 users within 50 hours of launch, bringing 3D creation capabilities to a broad user community.https://chensjtu.github.io/#news-xiaoyi3d-pixel-artisan-proXiaoyi 3D and Pixel Artisan PRO launch at HDC 20262026-06-12T00:00:00+08:002026-06-12T00:00:00+08:00Xiaoyi 3D and Pixel Artisan PRO launched at HDC 2026 and received the HarmonyOS Innovative Premium App Award.https://chensjtu.github.io/#news-snap-snapSnap-Snap accepted to TCSVT2026-06-01T00:00:00+08:002026-06-01T00:00:00+08:00Snap-Snap was accepted to IEEE Transactions on Circuits and Systems for Video Technology.https://chensjtu.github.io/papers/tigon.htmlTIGON: Text-Image Conditioned 3D Generation2026-03-22T00:00:00+08:002026-03-22T00:00:00+08:00TIGON uses text-image conditions and multimodal guidance to improve controllable 3D generation while preserving geometric and appearance quality.https://chensjtu.github.io/#news-tigon-cvpr-2026TIGON accepted to CVPR 20262026-03-22T00:00:00+08:002026-03-22T00:00:00+08:00TIGON was accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026.https://chensjtu.github.io/#news-unilat3d-cvpr-findings-2026UniLat3D accepted to Findings of CVPR 20262026-03-01T00:00:00+08:002026-03-01T00:00:00+08:00UniLat3D was accepted to Findings of CVPR 2026 for its unified geometry-appearance latent representation and single-stage 3D generation framework.https://chensjtu.github.io/#news-worldgrow-galleryWorldGrow Gallery goes online2026-01-15T00:00:00+08:002026-01-15T00:00:00+08:00The WorldGrow Gallery is now online, showcasing examples of coherent, infinitely extendable 3D world generation.https://chensjtu.github.io/#news-worldgrow-aaai-oralWorldGrow accepted as an Oral presentation at AAAI 20262025-11-15T00:00:00+08:002025-11-15T00:00:00+08:00WorldGrow was accepted as an Oral presentation at the AAAI Conference on Artificial Intelligence 2026.https://chensjtu.github.io/papers/worldgrow.htmlWorldGrow: Generating Infinite 3D World2025-10-24T00:00:00+08:002025-10-24T00:00:00+08:00WorldGrow extends coherent 3D scenes block by block using structured 3D priors, context-aware inpainting, and coarse-to-fine synthesis for open-ended world generation.https://chensjtu.github.io/papers/unilat3d.htmlUniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generation2025-09-29T00:00:00+08:002025-09-29T00:00:00+08:00UniLat3D unifies geometry and appearance in a shared latent representation, enabling single-stage 3D generation with a simple and efficient generative process.https://chensjtu.github.io/#news-gaussianobject-starsGaussianObject surpasses 1,200 GitHub stars2025-07-15T00:00:00+08:002025-07-15T00:00:00+08:00GaussianObject surpassed 1,200 GitHub stars, reflecting continued interest in sparse-view 3D object reconstruction with Gaussian splatting.https://chensjtu.github.io/papers/gaussianobject.htmlGaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting2024-02-15T00:00:00+08:002024-02-15T00:00:00+08:00GaussianObject reconstructs high-quality 3D objects from four views with Gaussian splatting, geometric initialization, floater elimination, and diffusion-based completion.