222 citations · 543 across the 56 of their papers we have counts for
20 papers · 1 filter
BrickWright: Agentic Creation of Physically Feasible Brick Builds
Ava Pun, Kevin Dai, Sally Chen +7
Frontier coding agents are becoming increasingly adept at 3D modeling. Yet, they still face challenges when building objects meant to be assembled in the physical world, often crea…
The Norm Spectrum of Barnes-Wall Lattices Below Twice the Minimum
Yuhang Cao, Sihuang Hu, Hexiang Huang +1
Let be the Barnes-Wall lattice of dimension , normalized to have minimum squared norm . We determine its complete norm spectrum strictly between and…
Tellimation: Making Narrative Gaps Visible in Children's Storytelling with Just-in-Time Animation
Vincent Cavez, Marielle Zheng, Momin Siddiqui +4
Illustrated scenes are used to prompt children's stories, yet children with language difficulties often omit the details, actions, and relationships that make a story coherent. We…
Providing Rapid Design Feedback for 3D Obstacle Course Games Using Constrained Solvability Queries
Zander Majercik, Sharon Zhang, William Wang +6
We present a system that aids the design of 3D obstacle course games by providing designers with rapid feedback on how obstacles can be solved. Our core contribution is a system fo…
Alignment Games: A Framework for Conceptual Repair in Human-AI Collaboration
Hari Subramonyam, Maneesh Agrawala, Sean Follmer
The meaning of a concept in use is shaped by the situation, task, goals, and prior knowledge. For example, a request to make a poster "visually appealing for a five-year-old" might…
Learned Localized Mesh Refinement
Xiao Zhan, Chrystiano Araújo, Kangle Deng +3
We present a neural method for adaptive triangle mesh refinement, in which an autoregressive model adds geometric detail to selected regions of an input mesh while leaving the rest…
RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives
Chong Zeng, Yue Dong, Pieter Peers +2
We present 'RenderFormer-V2', a unified learned transformer-based neural rendering model, complementary to modern physics-based rendering systems, that can handle diverse light-tra…
Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video Diffusion
Bowen Xue, Brandon Y. Feng, Chenguo Lin +6
Scaling video generation to long durations reveals a critical bottleneck: current models lack robust long-term memory. This deficiency can be studied along two critical aspects: ob…
MultiCube: Compositional 3D Generation With Part-Level Semantic and Spatial Control
Ava Pun, Kangle Deng, Yiheng Zhu +3
Digital 3D objects used in games and animation are often required to be compositional; that is, decomposed into semantically meaningful parts. Recent 3D generation methods can prod…
Collascope: Supporting Serendipitous Asset Exploration for Collage-Based Storytelling
Jiayi Zhou, Longji Huang, Lvmin Zhang +5
Collage-based storytelling requires visual elements that support emerging narratives and inspire creative reinterpretation. Existing tools, however, rely largely on keyword- and im…
Masked Visual Actions for Unified World Modeling
Hadi Alzayer, Wenlong Huang, Haonan Chen +8
Video models absorb rich priors over how the visual world moves, interacts, and responds to contact, making them promising substrates for robotic world modeling. The central challe…
FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
Bowen Xue, Zihan Min, Xingyang Li +8
Diffusion models have become a dominant paradigm for high-quality generative modeling, while post-training is essential for adapting them to diverse downstream applications. Howeve…
Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation
Sharon Zhang, R. Kenny Jones, Jiajun Wu +1
We present a pipeline for building and aggregating task-specific, LLM-generated weak (imperfect) verifiers into a strong verifier for spatial layout domains. Given a task descripti…
What makes an action sequence enjoyable to watch?
Jean-Peïc Chou, Kristine Zheng, Junyi Chu +2
People often seek out ways to watch others perform complex action sequences (e.g., sports). What makes some sequences more enjoyable to watch than others? We generated 24 video cli…
CubePart: An Open-Vocabulary Part-Controllable 3D Generator
Yiheng Zhu, Kangle Deng, Jean-Philippe Fauconnier +9
Interactive 3D assets used in games and simulation are typically decomposed into specific semantic parts to support animation, physics, and scripted behaviors, yet most generative…
EvalVerse: Pipeline-Aware and Expert-Calibrated Benchmarking for Professional Cinematic Video Generation
Songlin Yang, Haobin Zhong, Ruilin Zhang +23
The rapid evolution of generative video foundation models has propelled the field toward professional-grade cinematic synthesis. To achieve such demanding quality, the community tr…
Self-Consistency for LLM-Based Motion Trajectory Generation and Verification
Jiaju Ma, R. Kenny Jones, Jiajun Wu +1
Self-consistency has proven to be an effective technique for improving LLM performance on natural language reasoning tasks in a lightweight, unsupervised manner. In this work, we s…
View-oriented Conversation Compiler for Agent Trace Analysis
Lvmin Zhang, Maneesh Agrawala
We observe that an agent trace is a structured document. A coding agent session contains user turns, assistant text, chain of thought blocks, tool calls, tool results, subagent inv…
Mode Seeking meets Mean Seeking for Fast Long Video Generation
Shengqu Cai, Weili Nie, Chao Liu +8
Scaling video generation from seconds to minutes faces a critical bottleneck: while short-video data is abundant and high-fidelity, coherent long-form data is scarce and limited to…
Teaching Spell Checkers to Teach: Pedagogical Program Synthesis for Interactive Learning
Momin N. Siddiqui, Vincent Cavez, Sahana Rangasrinivasan +4
Spelling taught through memorization often fails many learners, particularly children with language-based learning disorders who struggle with the phonological skills necessary to…