Generative camera dolly: Extreme monocular dynamic novel view synthesis
Accurate reconstruction of complex dynamic scenes from just a single viewpoint continues to
be a challenging task in computer vision. Current dynamic novel view synthesis methods …
be a challenging task in computer vision. Current dynamic novel view synthesis methods …
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?
JH Lee, G Mikriukov, G Schwalbe, S Wermter… - ar**, and retrieving, is a critical challenge for
robot manipulation tasks. Existing methods primarily focus on table-top scenarios, which do …
robot manipulation tasks. Existing methods primarily focus on table-top scenarios, which do …
MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data
We propose scaling up 3D scene reconstruction by training with synthesized data. At the
core of our work is MegaSynth, a procedurally generated 3D dataset comprising 700K …
core of our work is MegaSynth, a procedurally generated 3D dataset comprising 700K …
Scene Co-pilot: Procedural Text to Video Generation with Human in the Loop
Z Qian, A Sharifi, T Carroll, SN Lim - arxiv preprint arxiv:2411.18644, 2024 - arxiv.org
Video generation has achieved impressive quality, but it still suffers from artifacts such as
temporal inconsistency and violation of physical laws. Leveraging 3D scenes can …
temporal inconsistency and violation of physical laws. Leveraging 3D scenes can …
AutoVFX: Physically Realistic Video Editing from Natural Language Instructions
Modern visual effects (VFX) software has made it possible for skilled artists to create imagery
of virtually anything. However, the creation process remains laborious, complex, and largely …
of virtually anything. However, the creation process remains laborious, complex, and largely …
DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation
Procedural Content Generation (PCG) is powerful in creating high-quality 3D contents, yet
controlling it to produce desired shapes is difficult and often requires extensive parameter …
controlling it to produce desired shapes is difficult and often requires extensive parameter …
Holistic Understanding of 3D Scenes as Universal Scene Description
3D scene understanding is a long-standing challenge in computer vision and a key
component in enabling mixed reality, wearable computing, and embodied AI. Providing a …
component in enabling mixed reality, wearable computing, and embodied AI. Providing a …
HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model
We introduce HouseCrafter, a novel approach that can lift a floorplan into a complete large
3D indoor scene (eg, a house). Our key insight is to adapt a 2D diffusion model, which is …
3D indoor scene (eg, a house). Our key insight is to adapt a 2D diffusion model, which is …
Reasoning About Interior Building Design, Grounded on Design Rules
CP Sydora - 2024 - era.library.ualberta.ca
Computers have emerged as an invaluable tool in exploring building interior configurations,
before committing to a particular layout. Building Information Modeling (BIM) enables …
before committing to a particular layout. Building Information Modeling (BIM) enables …