activity
20232026
most citedReuse and Diffuse: Iterative Denoising for Text-to-Video Generation

9 citations · 9 across the 17 of their papers we have counts for

collaborators

19 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.MM2026

SPEED: One-Step Pixel Diffusion for High-quality Video Frame Interpolation

Zihao Zhang, Haoyu Zhao, Siqian Yang +3

Despite the success of diffusion models in Video Frame Interpolation (VFI), existing methods still suffer from two critical limitations. First, latent diffusion inevitably loses fi…

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

CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping

Haoyu Zhao, Jiaxi Gu, Haoran Chen +11

Precise camera pose control is critical for video diffusion, yet maintaining geometric consistency remains a challenge. Existing methods that directly inject numerical camera param…

cs.RO2026

From Human Videos to Robot Manipulation: A Survey on Scalable Vision-Language-Action Learning with Human-Centric Data

Zhiyuan Feng, Qixiu Li, Huizhi Liang +12

Recent progress in generalizable embodied control has been driven by large-scale pretraining of Vision-Language-Action (VLA) models. However, most existing approaches rely on large…

cs.CV2026

DCDM: Divide-and-Conquer Diffusion Models for Consistency-Preserving Video Generation

Haoyu Zhao, Yuang Zhang, Junqi Cheng +5

Recent video generative models have demonstrated impressive visual fidelity, yet they often struggle with semantic, geometric, and identity consistency. In this paper, we propose a…

cs.CV2026

CoV: Chain-of-View Prompting for Spatial Reasoning

Haoyu Zhao, Akide Liu, Zeyu Zhang +5

Embodied question answering (EQA) in 3D environments often requires collecting context that is distributed across multiple viewpoints and partially occluded. However, most recent v…

cs.CV2025

Repeating Words for Video-Language Retrieval with Coarse-to-Fine Objectives

Haoyu Zhao, Jiaxi Gu, Shicong Wang +4

The explosive growth of video streaming presents challenges in achieving high accuracy and low training costs for video-language retrieval. However, existing methods rely on large-…

cs.CV2025

ShoulderShot: Generating Over-the-Shoulder Dialogue Videos

Yuang Zhang, Junqi Cheng, Haoyu Zhao +4

Over-the-shoulder dialogue videos are essential in films, short dramas, and advertisements, providing visual variety and enhancing viewers' emotional connection. Despite their impo…

cs.CV2025

Replace in Translation: Boost Concept Alignment in Counterfactual Text-to-Image

Sifan Li, Ming Tao, Hao Zhao +2

Text-to-Image (T2I) has been prevalent in recent years, with most common condition tasks having been optimized nicely. Besides, counterfactual Text-to-Image is obstructing us from…

cs.CV2025

DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image Animation

Haoyu Zhao, Zhongang Qi, Cong Wang +5

With diffusion transformer (DiT) excelling in video generation, its use in specific tasks has drawn increasing attention. However, adapting DiT for pose-guided human image animatio…

cs.CV2025

EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation

Zihao Zhang, Haoran Chen, Haoyu Zhao +4

Handling complex or nonlinear motion patterns has long posed challenges for video frame interpolation. Although recent advances in diffusion-based methods offer improvements over t…

cs.CV2024

EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation

Cong Wang, Jiaxi Gu, Panwen Hu +5

Following the advancements in text-guided image generation technology exemplified by Stable Diffusion, video generation is gaining increased attention in the academic community. Ho…

cs.CV2024

AutoTVG: A New Vision-language Pre-training Paradigm for Temporal Video Grounding

Xing Zhang, Jiaxi Gu, Haoyu Zhao +6

Temporal Video Grounding (TVG) aims to localize a moment from an untrimmed video given the language description. Since the annotation of TVG is labor-intensive, TVG under limited s…

cs.CV2024

FlexiFilm: Long Video Generation with Flexible Conditions

Yichen Ouyang, jianhao Yuan, Hao Zhao +2

Generating long and consistent videos has emerged as a significant yet challenging problem. While most existing diffusion-based video generation models, derived from image generati…

cs.CV2023

MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing

Haoyu Zhao, Tianyi Lu, Jiaxi Gu +5

The diffusion model is widely leveraged for either video generation or video editing. As each field has its task-specific problems, it is difficult to merely develop a single diffu…

cs.CV2023★ 9 cited

Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation

Jiaxi Gu, Shicong Wang, Haoyu Zhao +7

Inspired by the remarkable success of Latent Diffusion Models (LDMs) for image synthesis, we study LDM for text-to-video generation, which is a formidable challenge due to the comp…