collaborators

9 papers

cs.CL2026

Manacá-1B-Instruct-2: Reproducible Safety Alignment for a Native Brazilian-Portuguese LLM. Negative DPO Results, a Controlled Composition Scan, and a Silent Failure Mode of the LLM Judge

Bruno Leonardo Santos Menezes, Carlos Leonardo Souza Cardoso, Fabio André Machado Porto

Brazilian Portuguese remains underserved by open-source language models, and the few that are safety-aligned rarely document what did not work or validate comparisons with statisti…

cs.CV2026

ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes

Mingda Lin, Weijie Wang, Zeyu Zhang +7

Compact token sequences are essential for efficient 3D generation. However, existing 3D tokenizers typically organize latent representations either over spatial regions or as fixed…

cs.CV2026

Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion

Bowen Cui, Weijie Wang, Zeyu Zhang +7

While text-to-3D generation has advanced rapidly, achieving high geometric fidelity at low inference cost remains challenging. Existing text-to-3D methods either decode discrete sh…

cs.CV2026

Latent Spatial Memory for Video World Models

Weijie Wang, Haoyu Zhao, Yifan Yang +7

Video world models that maintain 3D spatial consistency across generated frames typically rely on explicit point cloud memory constructed in RGB space. This design is both computat…

cs.CV2026

World-R1: Reinforcing 3D Constraints for Text-to-Video Generation

Weijie Wang, Xiaoxuan He, Youping Gu +9

Recent video foundation models demonstrate impressive visual synthesis but frequently suffer from geometric inconsistencies. While existing methods attempt to inject 3D priors via…

cs.CV2026

TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction

Weijie Wang, Zimu Li, Jinchuan Shi +5

Sparse-view 3D reconstruction is increasingly addressed with feed-forward splatting networks that predict explicit primitives directly from images. Yet most existing methods remain…

cs.CV2026

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective

Weijie Wang, Qihang Cao, Sensen Gao +10

Reconstructing 3D representations from 2D inputs is a fundamental task in computer vision and graphics, serving as a cornerstone for understanding and interacting with the physical…

cs.CV2026

Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video

Zihui Gao, Ke Liu, Donny Y. Chen +5

Geometric foundation models show promise in 3D reconstruction. However, their progress is severely constrained by the scarcity of diverse, large-scale 3D annotations. While static-…

cs.CV2025

VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction

Weijie Wang, Yeqing Chen, Zeyu Zhang +9

Feed-forward 3D Gaussian Splatting (3DGS) has emerged as a highly effective solution for novel view synthesis. Existing methods predominantly rely on a \emph{pixel-aligned} Gaussia…