GeezerVison — Eric Ryan Chan — Research

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Causal Video Models Are Data-Efficient Robot Policy Learners Rhoda AI Blog

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation arXiv 2026

BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models CVPR 2026

Diffusion Self-Distillation for Zero-Shot Customized Image Generation CVPR 2025

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image CVPR 2024

Real-Time Radiance Fields for Single-Image Portrait View Synthesis SIGGRAPH 2023

GeNVS: Generative Novel View Synthesis with 3D-Aware Diffusion Models ICCV 2023 (Oral)

State of the Art on Diffusion Models for Visual Computing arXiv 2023

3D Neural Field Generation using Triplane Diffusion CVPR 2023

DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models ICCV 2023

Generative Neural Articulated Radiance Fields NeurIPS 2022

EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks CVPR 2022 (Oral)

pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis CVPR 2021 (Oral)

ACORN: Adaptive Coordinate Networks for Neural Representation SIGGRAPH 2021

MetaSDF: Meta-Learning Signed Distance Functions NeurIPS 2020